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Articles de revues sur le sujet « Appr. automatico »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 19 juillet 2025

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Kiran, Konakalla. "AI-Driven Customer Service Automation in Insurance: Leveraging Salesforce Einstein Chat Bots and GTM Apps." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 2 (2024): 1–4. https://doi.org/10.5281/zenodo.14203682.

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In today's digital landscape, insurance companies are utilizing AI-driven automation to streamline their customer service operations. Salesforce Einstein Chat Bots and GTM Apps integrated with Service Cloud provide robust tools for automating common customer interactions, pulling knowledge articles, creating cases, and automating surveys. These chatbots, powered by machine learning, reduce the burden on customer service agents by handling routine inquiries and freeing agents to handle more complex cases. This paper explores the configuration of these chatbots in Salesforce Service Cloud, offers examples of Apex code to support automation, and highlights key performance indicators (KPIs) critical for measuring success in customer service automation.

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Sanjusha, V., T. Vinay Reddy, S. Manasa, and G. Sravan kumar. "Automatic Home with The Nodemcu Esp8266 and The Blynk Apps." Journal on Electronic and Automation Engineering 2, no. 2 (2023): 04–07. http://dx.doi.org/10.46632/jeae/2/2/2.

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With advancement of Automation technology, life is getting simpler and easier in all aspects. In today’s world Automatic systems are being preferred over manual system. With the rapid increase in the number of users of internet over the past decade has made Internet a part and parcel of life, and IoT is the latest and emerging internet technology. Internet of things is a growing network of everyday object-from industrial machine to consumer goods that can share information and complete tasks while you are busy with other activities. Wireless Home Automation system (HAS) using IoT is a system that uses computers or mobile devices to control basic home functions and features automatically through internet from anywhere around the world, an automated home is sometimes called a smart home. It is meant to save the electric power and human energy. The home automation system differs from other system by allowing the user to operate the system from anywhere around the world through internet connection. In this paper we present a Home Automation system (HAS) using Blynk Community that employs the integration of cloud networking, wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home and storing the data in the cloud. The system will automatically change on the basis of sensors data. This system is designed to be low cost and expandable allowing a variety of devices to be controlled.

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Neha, Kulkarni. "Automated Testing Strategies for Health Tech Mobile Apps." Journal of Scientific and Engineering Research 8, no. 4 (2021): 259–68. https://doi.org/10.5281/zenodo.13602043.

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The advancement seen in the field of health tech mobile applications has highlighted that reliable and performance-oriented evaluation techniques must be implemented. This research paper seeks to establish the methods of test automation specific to health tech mobile apps, and how the identified strategies can improve on the quality of the health tech apps while reducing the time spent in testing. The paper will start by presenting a critique of the conventional testing methods and their drawbacks in the context of health tech not only because of the complicated and life-critical nature of the applications being developed, but also because of the automation requirement. It then goes through enshrined testing approaches such as automated testing for test cases, test case executions and maintenance of the test data and the incorporation of new tools that are usually unique for the development of the Mobile health applications. The study compares these strategies based on various real-life case studies that focus on the performance of health tech apps in increasing the testing outcomes, testing accuracy, and testing coverage. Research highlights prove that with an increase in the scale of use of automated testing, the testing cycle time is cut, while the number of detected defects and the quality of applications are enhanced. The paper also addresses issues that could be a problem with automatic testing like handling interactive applications and issues of sustaining test scripts. Recommendations are presented based on the strategies for automation testing in health technology and highlight that the integration and testing should be done continuously at all stages of the application’s development. This research contributes to the existing knowledge regarding the usage of automated testing for the peculiarities of health tech mobile app, and the improvement of their quality and effectiveness as they propagate under the dynamic technology space.

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Ayyal Awwad, Aiman M., and Wolfgang Slany. "Automated Bidirectional Languages Localization Testing for Android Apps with Rich GUI." Mobile Information Systems 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/2872067.

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Mobile apps are everywhere. The release of apps on a worldwide scale requires them to be made available in many languages, including bidirectional languages. Developers and translators are usually different persons. While automatic testing by itself is important in general in order to be able to develop high quality software, such automatic tests become absolutely essential when developers that do not possess enough knowledge about right-to-left languages need to maintain code that is written for bidirectional languages. A few bidirectional localization tests of mobile applications exist. However, their functionality is limited since they only cover translations and adoption of locales. In this paper we present our approach for automating the bidirectional localization testing for Android applications with a complete consideration for BiDi-languages issues. The objective is to check for any localization defects in the product. The proposed methods are used to test issues of bidirectional apps in general and specifically for the Arabic language. The results show that the methods are able to effectively reveal deficiencies in the app’s design, ensure that the localized app matches all expectations of local users, and guarantee that the product is culturally congruent to local conventions.

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Liao, Hsiu-Li, Chen-Huei Chou, and Wan-Chun Chao. "Functional Validation and Test Automation for Android Apps." International Journal of Machine Learning and Computing 4, no. 6 (2014): 553–58. http://dx.doi.org/10.7763/ijmlc.2014.v6.472.

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Mao, Jian, Hanjun Ma, Yue Chen, Yaoqi Jia, and Zhenkai Liang. "Automatic permission inference for hybrid mobile apps." Journal of High Speed Networks 22, no. 1 (2016): 55–64. http://dx.doi.org/10.3233/jhs-160538.

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Adams, Bruce W. "Automation and apps for clinical dental biomechanics." CRANIO® 34, no. 5 (2016): 343–47. http://dx.doi.org/10.1080/08869634.2015.1113689.

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Rahaman, Sydur, Raina Samuel, and Iulian Neamtiu. "Diagnosing Medical Score Calculator Apps." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 3 (2023): 1–27. http://dx.doi.org/10.1145/3610912.

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Mobile medical score calculator apps are widely used among practitioners to help make decisions regarding patient treatment and diagnosis. Errors in score definition, input, or calculations can result in severe and potentially life-threatening situations. Despite these high stakes, there has been no systematic or rigorous effort to examine and verify score calculator apps. We address these issues via a novel, interval-based score checking approach. Based on our observation that medical reference tables themselves may contain errors (which can propagate to apps) we first introduce automated correctness checking of reference tables. Specifically, we reduce score correctness checking to partition checking (coverage and non-overlap) over score parameters' ranges. We checked 12 scoring systems used in emergency, intensive, and acute care. Surprisingly, though some of these scores have been used for decades, we found errors in 5 score specifications: 8 coverage violations and 3 non-overlap violations. Second, we design and implement an automatic, dynamic analysis-based approach for verifying score correctness in a given Android app; the approach combines efficient, automatic GUI extraction and app exploration with partition/consistency checking to expose app errors. We applied the approach to 90 Android apps that implement medical score calculators. We found 23 coverage violations in 11 apps; 32 non-overlap violations in 12 apps, and 16 incorrect score calculations in 16 apps. We reported all findings to developers, which so far has led to fixes in 6 apps.

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Luo, Qian, Jiajia Liu, Jiadai Wang, Yawen Tan, Yurui Cao, and Nei Kato. "Automatic Content Inspection and Forensics for Children Android Apps." IEEE Internet of Things Journal 7, no. 8 (2020): 7123–34. http://dx.doi.org/10.1109/jiot.2020.2982248.

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Jordan, T. R., T. Welle, and M. D. Byrne. "Comparison of Manual versus Automated Data Collection Method for an Evidence-Based Nursing Practice Study." Applied Clinical Informatics 04, no. 01 (2013): 61–74. http://dx.doi.org/10.4338/aci-2012-09-ra-0037.

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SummaryObjective: The objective of this study was to investigate and improve the use of automated data collection procedures for nursing research and quality assurance.Methods: A descriptive, correlational study analyzed 44 orthopedic surgical patients who were part of an evidence-based practice (EBP) project examining post-operative oxygen therapy at a Midwestern hospital. The automation work attempted to replicate a manually-collected data set from the EBP project.Results: Automation was successful in replicating data collection for study data elements that were available in the clinical data repository. The automation procedures identified 32 “false negative” patients who met the inclusion criteria described in the EBP project but were not selected during the manual data collection. Automating data collection for certain data elements, such as oxygen saturation, proved challenging because of workflow and practice variations and the reliance on disparate sources for data abstraction. Automation also revealed instances of human error including computational and transcription errors as well as incomplete selection of eligible patients.Conclusion: Automated data collection for analysis of nursing-specific phenomenon is potentially superior to manual data collection methods. Creation of automated reports and analysis may require initial up-front investment with collaboration between clinicians, researchers and information technology specialists who can manage the ambiguities and challenges of research and quality assurance work in healthcare.Citation: Byrne MD, Jordan TR, Welle T. Comparison of Manual versus Automated Data Collection Method for an Evidence-Based Nursing Practice Study. Appl Clin Inf 2013; 4: 61–74http://dx.doi.org/10.4338/ACI-2012-09-RA-0037

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C., Venkataiah, and Jayamma Manjula. "An Automatic Basic Smart Home Prototype System." Recent Trends in Analog Design and Digital Devices 6, no. 2 (2023): 39–46. https://doi.org/10.5281/zenodo.8288935.

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<em>The term "internet of things" (IoT) describes a network of interconnected hardware, software, and services that enable users to control hardware and software remotely from a computer, smartphone, or other internet-connected device. It also describes the use of code and algorithm frameworks to control hardware and software for use in artificial intelligence (AI) technologies. If we want to create complicated systems utilising Python algorithms, we can manage our equipment, materials, and products remotely using mobile apps or online interfaces by connecting them to a Wi-Fi or Ethernet network. That provides a very brief definition of the Internet of Things. Beyond the "smart home," where it is largely used to control lighting and other home appliances, the Internet of Things (IoT) has a wide range of uses. It can also be used as a network security system or a factory system, for example, to operate completely automatic industrial machines, unlock or lock the main building door, or control network and telephone connections. However, with the aid of Internet of Things technologies, more may be achieved. Large structures like industries and government buildings often have a tonne of lighting fixtures. Some employees don't turn them off before leaving the office. The study's suggested energy-saving tactic is to have the security guard control the building's lighting using the Blynk app on a smart smartphone. Switches placed around the building and the Blynk app may both be used to control the lights depending on the wiring configuration. This paper presents a fundamental smart home prototype or a low-cost, straightforward approach to regulating loads over a Wi-Fi network.</em>

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Fitzgerald, Ryan, and Ciaran Johnston. "rApps: Transforming Network Management with Intelligent Automation Apps." Ericsson Technology Review 2023, no. 13 (2023): 2–6. http://dx.doi.org/10.23919/etr.2023.10439029.

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Roshan, Tayade1 Pranoti Rangari2. "MOBILE WEB APPS TESTING USING APPIUM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [ICEMESM-18] (April 27, 2018): 187–90. https://doi.org/10.5281/zenodo.1232271.

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Automation testing is a need of fast and efficient software development life cycle (SDLC) for high productivity and good quality of product. The need of all kind of versatile applications is expanding day by day, and each association is embracing agile SDLC model. In this way, to accomplish quality item we can't depend on manual testing, which may cause manual flaws and relapse. The objective of this project is to design and develop a generalized automation mobile web application testing tool for iOS and Android mobile platforms that will help testers to run their one time recorded test case on both of the platforms. This tool has record and playback features, which has been done with the help of port forwarding mechanism. Recording is done from android gadget, as client associates with the mobile web application. This highlight of this tool is that it can export test case in default text and JAVA format. It likewise produces log of the entire test case , which inevitably encourages analyzer to perceive bugs, by sparing time and endeavors. It uses appium testing framework, which supports both of these platforms with the help of selenium webdriver

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Alam, Tanweer, Abdulrahman A. Salem, Ahmad O. Alsharif, and Abdulaziz M. Alhujaili. "Smart home automation towards the development of smart cities." Computer Science and Information Technologies 1, no. 1 (2020): 17–25. https://doi.org/10.11591/csit.v1i1.p17-25.

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The home automation system is indeed a system that offers a mobile application to monitor it through the smartphone or tablet. It can control home appliances like light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi is used for remote control of things. The smart home is essentially how it looks: automating with such an easy touch of a button or a voice command the ability to manage things across the home. Several operations were both simple and extremely low-cost, such as setting up a light to turn on and off at the time of your moment. Others need much more money and resources, including advanced spy cameras. Some people thought that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

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Rauch, Edgar F., and Laurent Dupuy. "Comments on`On the reliability of fully automatic indexing of electron diffraction patterns obtained in a transmission electron microscope'by Morawiec & Bouzy (2006)." Journal of Applied Crystallography 39, no. 1 (2006): 104–5. http://dx.doi.org/10.1107/s0021889805033157.

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The limitation of automatic indexing of electron diffraction patterns raised by Morawiec & Bouzy [(2006).J. Appl. Cryst.39, 101–103] is discussed. The theoretical problem related to the famous 180° ambiguity may be surmounted by adequate technical improvements. Three solutions to avoid misindexing are briefly described.

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Vasenko, Oleksandr, Vasyl Yakuba, and Ihor Havrylov. "Automating data analysis in scientific research of future education specialists using the Google Apps Script platform." Professional Education: Methodology, Theory and Technologies, no. 18 (December 20, 2023): 48–65. http://dx.doi.org/10.31470/2415-3729-2023-18-48-65.

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Abstract. The article focuses on the role and potential of using the Google Apps Script platform as a tool for automating data analysis in scientific research for future specialists in the educational sphere. Thus, the article aims to systematize and summarize information about the possibilities and advantages of using digital tools, particularly the Google Apps Script platform, for automating data analysis in scientific research. The following research methods were employed: analysis and summarization of technological capabilities and practical cases using the Google Apps Script platform based on existing scientific and methodological sources, modelling, and synthesis of obtained data. This contributed to understanding and assessing the potential of the designated tool for use by future specialists in the educational sphere. The possibility of optimizing various stages of scientific research using Google Apps Script was thoroughly analysed, particularly in data filtering and summarization, statistical analysis, creating graphs, and reporting. Considering the prospects of applying the synthetic method in the research process, the role of the specified tool in creating and expanding data for objective analysis is emphasized. The Google Apps Script platform facilitates the effective combination of analytical capabilities and automation, allowing researchers to better synthesize the obtained results and react promptly to the identified trends. Such a comprehensive approach to data processing creates unique opportunities for innovative research in the field of education, making it more accessible and interactive for use by researchers and practitioners. As a result of the study, the significance of digital tools, including the Google Apps Script platform, in preparing future education professionals was highlighted. The advantages and possibilities of this tool for implementing innovative approaches in data analysis in the field of scientific research were pointed out, emphasizing its potential for developing new methodologies and approaches in this field. In the context of the on-going evolution of educational approaches, the Google Apps Script platform serves not only as a data analysis tool but also as a catalyst for innovative thinking. In summary, it is worth noting that Google Apps Script is a powerful tool that provides opportunities for automating complex data processing processes in scientific research, even when employing the synthetic method. The use of this tool opens up possibilities for efficient analysis and processing of large volumes of information, even when it is critical, overcoming this challenge in modern scientific work. Its capabilities enable researchers to focus on essential aspects of research, reducing time spent on routine data processing operations.

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Altomare, Angela, Rocco Caliandro, Mercedes Camalli, et al. "Automatic structure determination from powder data withEXPO2004." Journal of Applied Crystallography 37, no. 6 (2004): 1025–28. http://dx.doi.org/10.1107/s0021889804021417.

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EXPO2004is the updated version of theEXPOprogram [Altomareet al.(1999).J. Appl. Cryst.32, 339–340]. The traditional steps of theab initiopowder solution process are performed automatically: indexing, space-group determination, decomposition of the pattern for extracting the observed structure-factor moduli, structure solution by direct methods, model refinement by Rietveld technique. Special strategies may be applied to improve both the estimates of the extracted structure-factor moduli and the quality of the structure model. In addition, the use of special procedures exploiting available supplementary information on molecular geometry can be successfully adopted. The graphical interface has also been improved.

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Aakre, Christopher, Mikhail Dziadzko, Mark Keegan, and Vitaly Herasevich. "Automating Clinical Score Calculation within the Electronic Health Record." Applied Clinical Informatics 08, no. 02 (2017): 369–80. http://dx.doi.org/10.4338/aci-2016-09-ra-0149.

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Summary Objectives: Evidence-based clinical scores are used frequently in clinical practice, but data collection and data entry can be time consuming and hinder their use. We investigated the programmability of 168 common clinical calculators for automation within electronic health records. Methods: We manually reviewed and categorized variables from 168 clinical calculators as being extractable from structured data, unstructured data, or both. Advanced data retrieval methods from unstructured data sources were tabulated for diagnoses, non-laboratory test results, clinical history, and examination findings. Results: We identified 534 unique variables, of which 203/534 (37.8%) were extractable from structured data and 269/534 (50.4.7%) were potentially extractable using advanced techniques. Nearly half (265/534, 49.6%) of all variables were not retrievable. Only 26/168 (15.5%) of scores were completely programmable using only structured data and 43/168 (25.6%) could potentially be programmable using widely available advanced information retrieval techniques. Scores relying on clinical examination findings or clinical judgments were most often not completely programmable. Conclusion: Complete automation is not possible for most clinical scores because of the high prevalence of clinical examination findings or clinical judgments – partial automation is the most that can be achieved. The effect of fully or partially automated score calculation on clinical efficiency and clinical guideline adherence requires further study. Citation: Aakre C, Dziadzko M, Keegan MT, Herasevich V. Automating clinical score calculation within the electronic health record: A feasibility assessment. Appl Clin Inform 2017; 8: 369–380 https://doi.org/10.4338/ACI-2016-09-RA-0149

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Chen, Junhan. "MiniWarner: An Novel and Automatic Malicious Phishing Mini-apps Detection Approach." Computer and Information Science 15, no. 1 (2022): 57. http://dx.doi.org/10.5539/cis.v15n1p57.

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WeChat mini-apps are &ldquo;sub-applications&rdquo; built within the WeChat platform. Unlike full-function native applications, they are streamlined, &ldquo;light&rdquo; versions of the apps, and enable users to open and use them inside WeChat without downloading and installation. Since being introduced by WeChat in 2017, 4.3 million WeChat mini-programs have been developed, and they attract around 410 million daily active users Up to 2021. However, motivated by financial gains, many malicious mini-app developers use some intended description and icon to mislead users to click and open their mini-apps. These mini-apps are full of annoying advertisements and collect users&rsquo; privacy information stealthily, which can expose users to privacy risks and financial losses.  Although security personnel of WeChat has enforced various countermeasures to prevent malicious phishing mini-apps sneaking into WeChat, rampant malicious leading mini-apps still have been observed recently. In this paper, we present MiniWarner, a novel approach that leverages Natural Language Processing and a number of reverse engineering techniques to detect whether a mini-app is malicious and phishing when users open it. MiniWarner will only ask users whether to continue to open the malicious phishing mini-app, thus it can protect users against the intended misleading by attackers, and still preserve the original user experience. Besides, this approach is implemented as an Xposed module, making it practical to be quickly deployed on a large number of user devices. Our paper will introduce how we developed MiniWarner and the measurement results of MiniWarner in detail.

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Hakami, Hanadi. "Automatic classification of mobile apps to ensure safe usage for adolescents." PLOS ONE 20, no. 1 (2025): e0313953. https://doi.org/10.1371/journal.pone.0313953.

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The integration of mobile devices into adolescents’ daily lives is significant, making it imperative to prioritize their safety and security. With the imminent arrival of fast internet (6G), offering increased bandwidth and reduced latency compared to its predecessor (5G), real-time streaming of high-quality video and audio to mobile devices will become feasible. To effectively leverage the fast internet, accurately classifying Mobile Applications (M-APPs) is crucial to shield adolescents from inappropriate content, including violent videos, pornography, hate speech, and cyberbullying. This work introduces an innovative approach utilizing Deep Learning techniques, specifically Attentional Convolutional Neural Networks (A-CNNs), for classifying M-APPs. The goal is to secure adolescent mobile usage by predicting the potential negative impact of M-APPs on adolescents. The proposed methodology employs multiple Machine and Deep Learning (M/DL) models, but A-CNNs based on Bidirectional Encoder Representations from Transformers embeddings outperformed other models, achieving an average accuracy of 88.74% and improving the recall from 99.33% to 99.65%.

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Silviana Ramadina and Mursyidul Ibad. "Peningkatan Keselamatan di Rumah Sakit melalui APAR dengan Teknologi (Literatur Review)." INSOLOGI: Jurnal Sains dan Teknologi 3, no. 2 (2024): 206–14. http://dx.doi.org/10.55123/insologi.v3i2.3463.

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Improving safety in hospitals is a crucial aspect in efforts to provide quality health services. This article is a literature review that discusses the important role of Light Fire Extinguishers (APAR) supported by technology in increasing the level of safety in hospitals. This review explores a number of studies that reveal the benefits of using fire extinguishers equipped with advanced technology, such as fire sensors, automatic monitoring and rapid notification, in reducing the risk of fire in hospital environments. Apart from that, this article also reviews regulatory aspects, personnel training, and other factors that are key to the successful implementation of APAR technology in the hospital context. The writing method used is descriptive qualitative with a literature review approach where the data comes from various online sources, such as Google Scholar. The results of this literature review provide a better understanding of how the use of APAR integrated with technology can be an effective solution to improve the safety of patients, medical staff and facilities in hospitals.

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Haering, Marlo, Muneera Bano, Didar Zowghi, Matthew Kearney, and Walid Maalej. "Automating the Evaluation of Education Apps With App Store Data." IEEE Transactions on Learning Technologies 14, no. 1 (2021): 16–27. http://dx.doi.org/10.1109/tlt.2021.3055121.

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Mao, Ke, Mark Harman, and Yue Jia. "Robotic Testing of Mobile Apps for Truly Black-Box Automation." IEEE Software 34, no. 2 (2017): 11–16. http://dx.doi.org/10.1109/ms.2017.49.

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Piper, J. "Einsatz verschiedener Android-Foto- Apps in der Mikrofotografie – automatisch arbeitende Kamera-Apps, HDR-Kameras, Fotofilter, RAW-/DNGBildentwickler." Mikroskopie 8, no. 07 (2021): 163–73. http://dx.doi.org/10.5414/mkx00280.

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Amalfitano, Domenico, Nicola Amatucci, Atif M. Memon, Porfirio Tramontana, and Anna Rita Fasolino. "A general framework for comparing automatic testing techniques of Android mobile apps." Journal of Systems and Software 125 (March 2017): 322–43. http://dx.doi.org/10.1016/j.jss.2016.12.017.

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Kojima, Tomoyuki, and Masahiro Kato. "Algorithm for Automatic Diagnosis of Aphasia." Higher Brain Function Research 16, no. 3 (1996): 221–26. http://dx.doi.org/10.2496/apr.16.221.

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Iqbal, Muhammad. "AUTOMATIC SPEECH RECOGNITION (ASR) BASED ON PROGRESSIVE WEB APPS TO DEVELOP PRONUNCIATION LEARNING." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 11, no. 1 (2025): 175–82. https://doi.org/10.33330/jurteksi.v11i1.3635.

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Abstract: Good pronunciation plays a crucial role in enhancing students' confidence, encouraging active participation in learning, and preparing them for academic and professional opportunities, such as English-language interviews. Poor pronunciation during scholarship or job interviews can hinder the interviewer's understanding, thereby reducing the chances of acceptance. This study aims to improve students' pronunciation fluency and develop a learning medium based on Automatic Speech Recognition (ASR) technology. The method employed involves the development of Progressive Web Apps (PWA) integrated with ASR technology from the app.lumi.education platform, supported by manual labeling for pronunciation validation. The research was conducted at LKP Vijaya Learning Centre, Tanjungbalai City. The results demonstrate that ASR-based media significantly enhances students' pronunciation accuracy and confidence. Thus, the integration of ASR technology into PWA effectively supports innovative and efficient pronunciation learning. Keywords: automatic speech recognition; language learning; pronunciation; web-based application. Abstrak: Pengucapan yang baik berperan penting dalam meningkatkan kepercayaan diri siswa, mendorong partisipasi aktif dalam pembelajaran, dan mempersiapkan mereka menghadapi peluang akademik maupun profesional, seperti wawancara berbahasa Inggris. saat menghadapi wawancara beasiswa atau pekerjaan berbahasa Inggris, pengucapan yang buruk dapat mengurangi pemahaman pewawancara, sehingga mengurangi peluang diterima. Penelitian ini bertujuan untuk meningkatkan kelancaran pengucapan siswa dan mengembangkan media pembelajaran berbasis teknologi Automatic Speech Recognition (ASR). Metode yang digunakan adalah pengembangan Progressive Web Apps (PWA) yang terintegrasi dengan ASR dari aplikasi app.lumi.education, didukung oleh pelabelan manual untuk validasi pengucapan. Penelitian dilakukan di LKP Vijaya Learning Centre, Kota Tanjungbalai. Hasil penelitian menunjukkan bahwa media berbasis ASR secara signifikan meningkatkan akurasi pengucapan dan kepercayaan diri siswa. Dengan demikian, integrasi teknologi ASR dalam PWA terbukti mendukung pembelajaran pengucapan secara inovatif dan efisien.Kata kunci: aplikasi berbasis web; pengenalan suara otomatis; pembelajaran bahasa; pengucapan

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Luo, Jiebei. "Using Google apps to manage embargo records: Automating institutional repository reminders." College & Research Libraries News 79, no. 3 (2018): 137. http://dx.doi.org/10.5860/crln.79.3.137.

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Using multiple Google apps, the Lucy Scribner Library at Skidmore College creates an automated reminder to manage embargo records of the scholarly works deposited in the college’s institutional repository (IR), Creative Matter. This cloud-based embargo reminder can be applicable to other academic libraries that employ Digital Commons or similar IR platforms without built-in embargo reminder functions.

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Somantri, Supriatna, Hardi Herdiana, Ujang Mulyana, and Anggy Pradifta Junfithrana. "SMART AGRICULTURE BASED IOT AND MOBILE APPS." INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) 3, no. 2 (2020): 86–96. http://dx.doi.org/10.52005/ijeat.v3i2.62.

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Agriculture is the main occupation in our country for many centuries. But now because of the migration of people from rural to urban areas there are barriers to agriculture. So to solve this problem we are using smart farming techniques using IOT. Smart farming is a developing concept, because the IOT Sensor is able to provide information about the agricultural sector and then act on user input. To develop this Intelligent Agricultural System, it uses the advantages of the latest technology such as Arduino, IOT and Wireless Sensor Networks. The paper aims to make use of the emerging technology namely IOT and the use of intelligent agricultural automation. Monitoring of environmental conditions is the main factor for increasing efficient crop yields. This feature includes the development of a system that can monitor temperature, humidity and is programmed via an android application.

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Sajedi, Ferdows, Julia Edgar, and Jeffrey M. Halpern. "Expanding Our Cyclodextrin-Based Sensors with Automation and New Surfaces." ECS Meeting Abstracts MA2023-01, no. 43 (2023): 2895. http://dx.doi.org/10.1149/ma2023-01432895mtgabs.

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We have had significant success in building cyclodextrin mediated sensors. We initially started with a gold surface, being able to detect analyte up to three times post modification [1]. Afterwards, we improved the stability and reusability by moving to a phenyl-modified carbon electrode via diazonium salt chemistry [2]. With his new surface, we were able to detect cortisol up to 10 different times with high accuracy, repeatability, and sensitivity in buffer, urine, and artificial saliva. We were limited by manually manipulating the electrode; therefore, we were not able to test the electrode for greater than 10 measurements. Within this poster, we intend to present our ideas and progress towards developing an automated detection system that can be preprogrammed to clean, reset, and test the cyclodextrin-mediated surface with target analytes. Further, we will share our various target analytes and our strategy to expand our sensor surface to include multiple cyclodextrin derivatives. Research supported by New Hampshire- INBRE through an Institutional Development Award (IDeA), P20GM103506, from the National Institute of General Medical Sciences of the NIH. [1] Z. Panahi, M. A. Merrill, and J. M. Halpern, “Reusable Cyclodextrin-Based Electrochemical Platform for Detection of trans -Resveratrol,” ACS Appl. Polym. Mater., vol. 2, no. 11, pp. 5086–5093, Nov. 2020. [2] Z. Panahi, T. Ren, and J. M. Halpern, “Nanostructured Cyclodextrin-Mediated Surface for Capacitive Determination of Cortisol in Multiple Biofluids,” ACS Appl. Mater. Interfaces, Aug. 2022.

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Šulc, Stanislav, Vít Šmilauer, and Bořek Patzák. "MUPIF WORKFLOW EDITOR AND AUTOMATIC CODE GENERATOR." Acta Polytechnica CTU Proceedings 26 (March 17, 2020): 107–11. http://dx.doi.org/10.14311/app.2020.26.0107.

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Integrating applications or codes into MuPIF API Model enables easy integration of such APIs into any workflow representing complex multiphysical simulation. This concept of MuPIF also enables automatic code generation of the computational code for given workflow structure. This article describes a ’workflow generator’ tool for the code generation together with ’workflow editor’ graphical interface for interactive definition of the workflow structure and the inner data dependencies. The usage is explained on a thermo-mechanical simulation.

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Brown, Alan S. "Automation vs. Jobs." Mechanical Engineering 134, no. 04 (2012): 22–27. http://dx.doi.org/10.1115/1.2012-apr-1.

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This article examines the impact of automation on jobs. Since the end of the Great Recession in June 2009, the GDP of the United States has grown 75% as fast as its average between 1948 and 2007. Ordinarily, such growth would spur companies to hire more workers. However, the fact is that overall unemployment has hovered above 9% for most of the past three years and remains stubbornly high. The percentage of working adults is at its lowest level since 1983, when women were still entering the workforce. Instead of hiring workers, companies are now investing in equipment and technology, which rebounded quickly after the recession. Some economists contend that advanced information and communications technology is transforming the economy by capturing jobs that only humans could have done before. They even consider digital technology when looking at the potential causes of unemployment. They also believe this is a sign of deeper structural changes in the economy.

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Sun, Zaoyi, Zhiwei Ji, Pei Zhang, et al. "Automatic labeling of mobile apps by the type of psychological needs they satisfy." Telematics and Informatics 34, no. 5 (2017): 767–78. http://dx.doi.org/10.1016/j.tele.2017.03.001.

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Sumra, Mehreen, Sohail Asghar, Khalid S. Khan, Juan M. Fernández-Luna, Juan F. Huete, and Aurora Bueno-Cavanillas. "Smartphone Apps for Domestic Violence Prevention: A Systematic Review." International Journal of Environmental Research and Public Health 20, no. 7 (2023): 5246. http://dx.doi.org/10.3390/ijerph20075246.

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Smartphone applications or apps are increasingly being produced to help with protection against the risk of domestic violence. There is a need to formally evaluate their features. Objective: This study systematically reviewed app-based interventions for domestic violence prevention, which will be helpful for app developers. Methods: We overviewed all apps concerning domestic violence awareness and prevention without language restrictions, collating information about features and limitations. We conducted searches in Google, the Google Play Store, and the App Store (iOS) covering a 10-year time period (2012–2022). We collected data related to the apps from the developers’ descriptions, peer reviewed research articles, critical reviews in blogs, news articles, and other online sources. Results: The search identified 621 potentially relevant apps of which 136 were selected for review. There were five app categories: emergency assistance (n = 61, 44.9%), avoidance (n = 29, 21.3%), informative (n = 29, 21.3%), legal information (n = 10, 7.4%), and self-assessment (n = 7, 5.1%). Over half the apps (n = 97, 71%) were released in 2020–22. Around a half were from north-east America (n = 63, 46.3%). Where emergency alerts existed, they required triggering by the potential victim. There was no automation. Content analysis showed 20 apps with unique features, including geo-fences, accelerometer-based alert, shake-based alert, functionality under low resources, alert auto-cancellation, anonymous communication, and data encryption. None of the apps deployed artificial intelligence to assist the potential victims. Conclusions: Apps currently have many limitations. Future apps should focus on automation, making better use of artificial intelligence deploying multimedia (voice, video, image capture, text and sentiment analysis), speech recognition, and pitch detection to aid in live analysis of the situation and for accurately generating emergency alerts.

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Mark, Christina, Birgit Bornatowicz, Markus Mitterhauser, et al. "Development and automation of a novel NET-PET tracer: [11C]Me@APPI." Nuclear Medicine and Biology 40, no. 2 (2013): 295–303. http://dx.doi.org/10.1016/j.nucmedbio.2012.11.009.

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Permana, Rafli, Andrie Yuswanto, and Budi Wibowo. "NODEMCU INTERNET OF THINGS-BASED FIRE AUTOMATION DESIGN WITH BLYNK APPS NOTIFICATIONS." TEKNOKOM 6, no. 1 (2023): 14–19. http://dx.doi.org/10.31943/teknokom.v6i1.94.

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The impact of fires causes quite large losses, often even causing fatalities. The method used in the system is monitoring the fire sensor which is used to detect a fire, the buzzer as a notification output in the form of sound, and the water pump as a fire extinguisher which will function after the fire sensor is on. detecting the presence of fire. to detect fire in realtime and 9 in the event of a fire with a research and development. Monitoring approach on fire sensors used to detect the presence of fire, buzzers as output notifications in the form of sound, and water pumps as a tool to extinguish fires which will function after the fire sensor detect the presence of fire.

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Chen, Yu-Chin. "The framework for automating social media content publishing using google apps script." IET Conference Proceedings 2024, no. 28 (2025): 81–83. https://doi.org/10.1049/icp.2025.0198.

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尤, 文珠. "The Design of Passive Infrared Induction Automatic Faucet." Applied Physics 07, no. 10 (2017): 293–98. http://dx.doi.org/10.12677/app.2017.710036.

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Hlubuček, Adam. "RAILTOPOMODEL AND RAILML 3 IN OVERALL CONTEXT." Acta Polytechnica CTU Proceedings 11 (August 28, 2017): 16. http://dx.doi.org/10.14311/app.2017.11.0016.

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This paper aims to provide a brief insight into the UIC RailTopomodel and railML initiative. Concerning the railML exchange format, mainly the current form of forthcoming third edition, involving especially the infrastructure schema, based on the RailTopoModel modelling principles, is taken into account. When rewarding, the comparison between railML 3 and the previous railML 2.3 version is given. At the end, the author focuses on selected issues of possible applicability of these tools for the needs of such systems as the automatic train control, automatic train operation, prediction of train etc. If essential, some extensions of the structures are proposed.

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Lee, Seungwook, and Youngjoong Ko. "Named-Entity Recognition Using Automatic Construction of Training Data From Social Media Messaging Apps." IEEE Access 8 (2020): 222724–32. http://dx.doi.org/10.1109/access.2020.3043261.

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Paula, Greg. "Flexible Automation on the Line." Mechanical Engineering 120, no. 04 (1998): 70–72. http://dx.doi.org/10.1115/1.1998-apr-5.

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This article discusses developments in flexible automation in the automobile industry. As industry demands growing emphasis on agility, the need for systems with flexibility at scales is becoming critical. Flexible automation is an operational response to this need. Traditional automation systems were extremely limited in scope. Each would do a single task very well over and over again but had little or no ability to adapt to any other task. Although developments in hardware have made automation more flexible, software tends to be the more critical aspect of the system. Much of the flexibility of today’s system comes from the reprogrammability of devices such as tools and material-handling equipment. The area in which flexible automation is most pervasive is the automotive industry. This industry not only has a great need for automation systems but also has the budget to afford such expensive and elaborate systems.

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Sa'diah, Chalimatus, Tatik Widiharih, and Arief Rachman Hakim. "KLASIFIKASI PEMBERIAN KREDIT SEPEDA MOTOR MENGGUNAKAN METODE REGRESI LOGISTIK BINER DAN CHI-SQUARED AUTOMATIC INTERACTION DETECTION (CHAID) DENGAN GUI R (Studi Kasus: Kredit Sepeda Motor di PT X)." Jurnal Gaussian 10, no. 2 (2021): 159–69. http://dx.doi.org/10.14710/j.gauss.v10i2.29923.

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One of the factors causing the bankruptcy of a company is bad credit. Therefore, prospective customers need to be selected so that bad credit cases can be minimized. This study aims to determine the classification of credit granting to prospective customers of company X in order to reduce the risk of bad credit. The method used is the binary logistic regression method and the Chi-Squared Automatic Interaction Detection (CHAID) method. In this study, data used in November 2019 were 690 motorcycle credit data for company X in Gresik. The independent variables in this study are the factors that affect bad credit such as gender, marital status, education, employment, income, expenses, home ownership status and the dependent variable is credit status (bad and current). The analysis results show that the binary logistic regression has an accuracy value of 76.38% with an APER of 23.62%, while CHAID has an accuracy value of 93.19% with an APER of 6.81%. The accuracy value of the CHAID method is greater than the binary logistic regression method, while the APER value of the CHAID method is smaller than the binary logistic regression method. So it can be concluded that the CHAID method is better than the binary logistic regression method in classifying bad credit at company X. Keywords: Credit, Classification, Binary Logistic Regression, CHAID.

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Rychlík, Jan, and Roman Mouček. "Automatic detection of sleep spindles by neural networks algorithms." Acta Polytechnica CTU Proceedings 51 (December 17, 2024): 75–80. https://doi.org/10.14311/app.2024.51.0075.

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Sleep constitutes an essential aspect of human existence, with the average individual dedicating approximately one-third of their life to this physiological activity. Consequently, comprehending and accurately analyzing sleep patterns is of paramount importance. This research aims to introduce, formulate, execute, and assess diverse machine/deep learning methodologies tailored for the processing of EEG signals geared explicitly towards identifying sleep spindles. The learning algorithms underwent training using meticulously annotated data from the Montreal Archive of Sleep Studies (MASS) data center. The convolutional neural network emerged as the most effective classification model, achieving an accuracy surpassing 67 %.

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Fetisov, G. V., and V. T. Markov. "A method for checking X-ray diffractometer stability and its application." Journal of Applied Crystallography 20, no. 4 (1987): 289–94. http://dx.doi.org/10.1107/s0021889887086655.

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A statistical model of step-scanning of Bragg reflections on an X-ray diffractometer has been suggested [Dietrich (1976). J. Appl. Cryst. 9, 205–208]. A method and software for stability checking of X-ray automatic diffractometers at the user's laboratory have been developed on the basis of this model. The method is an extension of the technique proposed by Dietrich (1976) and reveals the operational instability of the instrument by processing the data of repeated measurements of a reflection intensity profile of a test crystal. The developed software package gives information about the error in initial positioning, the speed instability of the goniometer and the instability of the X-ray source and detector. The method was applied to a number of automatic four-circle X-ray CAD-4 (Enraf–Nonius, Holland) and Syntex (USA) diffractometers. The results obtained indicate that the method has high sensitivity and can be useful for practical crystallographers to reveal defects of their instruments.

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Altomare, Angela, Gaetano Campi, Corrado Cuocci, et al. "Advances in powder diffraction pattern indexing:N-TREOR09." Journal of Applied Crystallography 42, no. 5 (2009): 768–75. http://dx.doi.org/10.1107/s0021889809025503.

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Powder pattern indexing can still be a challenge, despite the great recent advances in theoretical approaches, computer speed and experimental devices. More plausible unit cells, belonging to different crystal systems, are frequently found by the indexing programs, and recognition of the correct one may not be trivial. The task is, however, of extreme importance: in case of failure a lot of effort and computing time may be wasted. The classical figures of merit for estimating the unit-cell reliability {i.e.M20[de Wolff (1968).J. Appl. Cryst.1, 108–113] andFN[Smith & Snyder (1979).J. Appl. Cryst.12, 60–65]} sometimes fail. For this reason, a new figure of merit has been introduced inN-TREOR09, the updated version of the indexing packageN-TREOR[Altomare, Giacovazzo, Guagliardi, Moliterni, Rizzi & Werner (2000).J. Appl. Cryst.33, 1180–1186], combining the information supplied byM20with additional parameters such as the number of unindexed lines, the degree of overlap in the pattern (the so-called number of statistically independent observations), the symmetry deriving from the automatic evaluation of the extinction group, and the agreement between the calculated and observed profiles. The use of the new parameters requires a dramatic modification of the procedures used worldwide: in the approach presented here, extinction symbol and unit-cell determination are simultaneously estimated.N-TREOR09benefits also from an improved indexing procedure in the triclinic system and has been integrated intoEXPO2009, the updated version ofEXPO2004[Altomare, Caliandro, Camalli, Cuocci, Giacovazzo, Moliterni & Rizzi (2004).J. Appl. Cryst.37, 1025–1028]. The application of the new procedure to a large set of test structures is described.

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Hirsan, Fariz Primadi, Baiq Harly Widayanti, Agus Kurniawan, Ardi Yuniarman, and Sri Apriani Puji Lestari. "KAJIAN LOKASI POS INDUK PEMADAM KEBAKARAN TERHADAP BENCANA KEBAKARAN DI KOTA MATARAM." Jurnal Planoearth 3, no. 2 (2018): 63. http://dx.doi.org/10.31764/jpe.v3i2.617.

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Penelitian bertujuan mengidentifikasi kondisi eksisting pos induk pemadam kebakaran, tingkat kerawanan kebakaran dan penentuan alternatif solusi pemecahan masalah. Penelitian menggunakan metode deskriptif serta analisis deskriptif dan analisis jaringan. Hasil penelitian menunjukan kondisi Pos Induk Pemadam Kebakaran cukup memadai, baik dari aspek kelayakan fisik bangunan maupun kemampuan pelayanan. Frekuensi kejadian kebakaran tahun 2016, rata-rata terjadi 2 kasus setiap bulannya. Daerah rawan kebakaran secara umum didominasi oleh daerah yang memiliki tingkat resiko kebakaran sedang. Alternatif solusi masalah lokasi pos induk pemadam kebakaran yaitu penambahan jumlah infrastruktur pemadam kebakaran, seperti hidran, Alat Pemadam Api Ringan (APAR), Smoke Detector, Automatic Gurgoyle

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Argyros, Ioannis K., and Santhosh George. "Ball convergence of some fourth and sixth-order iterative methods." Asian-European Journal of Mathematics 09, no. 02 (2016): 1650034. http://dx.doi.org/10.1142/s1793557116500340.

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We present a local convergence analysis for some families of fourth and sixth-order methods in order to approximate a locally unique solution of a nonlinear equation in a Banach space setting. Earlier studies [V. Candela and A. Marquina, Recurrence relations for rational cubic methods II: The Chebyshev method, Computing 45 (1990) 355–367; C. Chun, P. Stanica and B. Neta, Third order family of methods in Banach spaces, Comput. Math. Appl. 61 (2011) 1665–1675; J. M. Gutiérrez and M. A. Hernández, Recurrence relations for the super-Halley method, Comput. Math. Appl. 36 (1998) 1–8; M. A. Hernández and M. A. Salanova, Modification of the Kantorovich assumptions for semilocal convergence of the Chebyshev method, J. Comput. Appl. Math. 126 (2000) 131–143; M. A. Hernández, Chebyshev’s approximation algorithms and applications, Comput. Math. Appl. 41 (2001) 433–455; M. A. Hernández, Second-derivative-free variant of the Chebyshev method for nonlinear equations, J. Optim. Theory Appl. 104(3) (2000) 501–515; J. L. Hueso, E. Martinez and C. Teruel, Convergence, efficiency and dynamics of new fourth and sixth-order families of iterative methods for nonlinear systems, J. Comput. Appl. Math. 275 (2015) 412–420; Á. A. Magre nán, Estudio de la dinámica del método de Newton amortiguado, Ph.D. thesis, Servicio de Publicaciones, Universidad de La Rioja (2013), http://dialnet.unirioja.es/servlet/tesis?codigo=38821 ; J. M. Ortega and W. C. Rheinboldt, Iterative Solution of Nonlinear Equations in Several Variables (Academic Press, New York, 1970); M. S. Petkovic, B. Neta, L. Petkovic and J. Džunič, Multi-Point Methods for Solving Nonlinear Equations (Elsevier, 2013); J. F. Traub, Iterative Methods for the Solution of Equations, Automatic Computation (Prentice-Hall, Englewood Cliffs, NJ, 1964); X. Wang and J. Kou, Semilocal convergence and [Formula: see text]-order for modified Chebyshev–Halley methods, Numer. Algorithms 64(1) (2013) 105–126] have used hypotheses on the fourth Fréchet derivative of the operator involved. We use hypotheses only on the first Fréchet derivative in our local convergence analysis. This way, the applicability of these methods is extended. Moreover the radius of convergence and computable error bounds on the distances involved are also given in this study. Numerical examples illustrating the theoretical results are also presented in this study.

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Praveen, Kumar. "User Experience Testing for Mobile Apps in Digital Transformation: Nuances in Seamless and Intuitive User Experience Across Devices and Platforms." Journal of Scientific and Engineering Research 8, no. 6 (2021): 147–56. https://doi.org/10.5281/zenodo.12805052.

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In the era of digital transformation, mobile applications have become crucial enablers of seamless and intuitive user experiences. As businesses increasingly rely on mobile apps to engage customers and drive digital initiatives, ensuring optimal user experience (UX) across diverse devices and platforms has become a critical success factor. This paper explores the significance of user experience testing in mobile engineering for digital transformation, emphasizing the importance of delivering consistent, intuitive, and seamless user experiences. We discuss the nuances and challenges involved in UX testing for mobile apps, considering factors such as device fragmentation, platform variations, and user context. The paper presents a comprehensive framework for UX testing in mobile app development, encompassing key dimensions such as usability, accessibility, performance, and emotional engagement. We also highlight emerging trends and best practices in mobile UX testing, including the adoption of automation tools, user feedback integration, and data-driven insights. The insights and recommendations provided in this paper aim to guide mobile app developers, UX designers, and quality assurance professionals in delivering exceptional user experiences that drive successful digital transformation initiatives.

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Mathur, Gunjan, and B. P. Pande. "Review and Analysis of Contemporary Digital Contact Tracing Apps." WSEAS TRANSACTIONS ON COMPUTERS 24 (May 15, 2025): 63–75. https://doi.org/10.37394/23205.2025.24.6.

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The outbreak of the recent pandemic emerged as a challenge for healthcare systems, education, travel, and businesses to survive in traditional disposition. To mitigate its spread, digital technologies were exercised, and one of them was Digital Contact Tracing (DCT). DCT has been employed during outbreaks of epidemics like HIV/AIDS, SARS, Ebola, monkeypox, and COVID-19. However, many challenges, like security, data protection, and privacy also affected the smooth adoption of automatic DCT or apps. These challenges led to the failure of many DCT apps despite being the fastest method of contact tracing. The present study aims to analyze the exhaustive literature on DCT apps, that were exercised all around the globe during the outbreak of the COVID-19 pandemic. A comprehensive literature survey of relevant studies and a detailed analysis comparing thirty different DCT apps is presented. It has been found that only a few studies discussed various technologies, challenges, adoption rates, and future advancements in the realm. Incorporating knowledge from multiple sources, this study underlines the reasons for the adoption and rejection of DCT apps during the pandemic. To overcome these limitations, thoughtful applications of modern-age technologies are recommended. This work endeavors to suggest potential research avenues for developing next-generation DCT apps.

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Blonz, Joshua, Karen Palmer, Casey J. Wichman, and Derek C. Wietelman. "Smart Thermostats, Automation, and Time-Varying Prices." American Economic Journal: Applied Economics 17, no. 1 (2025): 90–125. https://doi.org/10.1257/app.20210618.

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Can automation complement economic incentives? We explore this question by randomly encouraging households to activate a feature on their existing smart thermostat that automates responsiveness to time-of-use electricity pricing. The feature reduces air conditioning use during the highest-priced afternoon period, raising indoor temperatures above a household's preferred temperature, primarily for customers who are typically home during the day. Customers infrequently override the feature when they experience discomfort, suggesting that they are willing to trade off monetary savings for small increases in discomfort. Automation thus enables low-cost changes in household energy use, with potentially large electricity supply-cost reductions at scale. (JEL D12, D91, L94, L98, Q48)

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