Relevant bibliographies by topics / Appr. automatico

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Appr. automatico'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Appr. automatico"

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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, offer
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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 t
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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
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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. Howe
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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 cor
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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 dat
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Dissertations / Theses on the topic "Appr. automatico"

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ZINI, SIMONE. "Image Enhancement and Restoration using Machine Learning Techniques." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/378899.

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Le fotocamere digitali acquisiscono, manipolano e salvano in memoria informazioni elettronicamente tramite un sensore e unitá di calcolo integrate, rendendo la fotografia accessibile agli utenti finali i quali non necessitano di basi di conoscenza di chimica o delle specifiche operazioni meccaniche che erano necessarie per lo sviluppo con la fotografia analogica. Diversi tipi di degradazioni e artefatti possono affliggere le immagini acquisite tramite camere digitali, riducendo la fedeltà percepita delle immagini e rendendo piú difficili operazioni di visione artificiale che possono essere ope
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Kerov, Ghiglianovich Claudio. "Rilevazione automatica di attacchi in architetture antifragili." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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La tesi tratta l'utilizzo del machine learning per la classificazione e la predizione di attacchi ad un software. In particolare sono stati sviluppati: l'applicazione presa di mira, ovvero un sito di cloud storage; un programma Python per rilevare gli attacchi e uno per automatizzarli; uno script per il training e l'utilizzo di un classificatore SVC.
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Glanz, Leonid Verfasser], Mira [Akademischer Betreuer] [Mezini, and Awais [Akademischer Betreuer] Rashid. "Automatic Identification and Recovery of Obfuscated Android Apps / Leonid Glanz ; Mira Mezini, Awais Rashid." Darmstadt : Universitäts- und Landesbibliothek, 2020. http://d-nb.info/1224048601/34.

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Glanz, Leonid [Verfasser], Mira [Akademischer Betreuer] Mezini, and Awais [Akademischer Betreuer] Rashid. "Automatic Identification and Recovery of Obfuscated Android Apps / Leonid Glanz ; Mira Mezini, Awais Rashid." Darmstadt : Universitäts- und Landesbibliothek, 2020. http://d-nb.info/1224048601/34.

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Becaccia, Morris. "Machine Learning per il riconoscimento automatico delle attività umane da smartphone: una valutazione sperimentale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19576/.

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La tesi si occupa di creare un modello di classificazione analizzando dataset riguardanti le Human Activity Recognition. Il lavoro di tesi è stato diviso in due parti. La prima parte tratta lo stato dell'arte, in cui sono stati analizzati e approfonditi i temi di Machine Learning e sistemi HAR. Nella seconda parte è stato descritto il progetto. Il progetto si basa sul processo di Data Mining. Durante tutto il processo di Data Mining sono state fatte valutazioni e sperimentazioni sia durante la fase di pulizia dei dati e di preprocessing, sia durante la fase di classificazione valutando
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Bhatt, Mrunal Dipakkumar Bhatt. "INTELLIGENT VOICE ACTIVATED HOME AUTOMATION (IVA)." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1463517275.

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Mácha, Tomáš. "Využití nástroje MATLAB Coder pro automatické generování C kódu pro mikrokontroléry dsPIC." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402535.

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Generating C code from MATLAB can be a powerful tool for a wide range of engineering problems. Especially in cases where MATLAB excels, including matrix operations and some of the built-in functions, code conversion may represent a significant assistance in their development. The aim of this master's thesis is to explore the possibilities of generating C code using MATLAB Coder App. As the documentation for MATLAB Coder was not found sufficient a theoretical basis for the use of this tool was introduced along with simple examples of possible applications. Next, code generation for controlling
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Asher, Natali. "A Warmer Welcome : Application of a Chatbot as a Facilitator for New Hires Onboarding." Thesis, Linnéuniversitetet, Institutionen för medieteknik (ME), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-65887.

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Despite being explored and constantly improved through the years, onboarding of new hires in corporate organizations has remained a challenge. Many of the issues can be linked to a lack of communication between the organization and the new employee, as well as the common nature of these environments where information is spread across job titles and sources. This thesis discusses the feasibility of implementing a basic chatbot that will allow new hires to ask questions and request varied information at all times, using an interface such as a messaging app. This research explores the way chatbot
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Chen, You-Syuan, and 陳佑宣. "Automatic Testing of Android Apps Using JUnit Framework." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/77277880696331330896.

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碩士<br>開南大學<br>資訊管理學系<br>103<br>App development for smart phones and tablets is one of the hottest technologies in recent years. As the app can be downloaded and updated via the Internet, the revision of the software is much faster than the traditional PC software. How to use tools to improve development efficiency and program quality becomes more and more important. Testing is a necessary phase in software development. This paper discusses how to use JUnit Framework to test Android apps automatically, including the creation of testing classes and test cases. We use three different types of App
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Glanz, Leonid. "Automatic Identification and Recovery of Obfuscated Android Apps." Phd thesis, 2020. https://tuprints.ulb.tu-darmstadt.de/14647/7/Thesis_Leonid_Glanz.pdf.

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Every day, developers add new applications (apps) to the Google Play Store, which ease users' lives and entertain them. The rapid development of these apps is only possible through the provision of software libraries whose functionality can be directly integrated into an app without creating it from scratch. For instance, some libraries provide extended possibilities for displaying content or additional support for specific networking capabilities. All these libraries are bundled with the main application code into one binary to avoid delays due to the loading of external functionality. The
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Books on the topic "Appr. automatico"

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Institute, Pennsylvania Bar. Smartphones and mobile apps for lawyers. Pennsylvania Bar Institute, 2015.

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Association, American Bar, ed. Ipad apps in one hour for lawyers. American Bar Association, 2012.

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Mařík, Vladimír. Holonic and multi-agent systems for manufacturing: Proceedings. Springer, 2003.

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Cristo, Shannon. Automation : Types, Descriptions, and Examples: Automation App. Independently Published, 2021.

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Test IOS Apps with UI Automation. The Pragmatic Programmers, 2013.

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Introduction to Google apps--productivity apps. Pearson, 2012.

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Introducing Microsoft Flow: Automating Workflows Between Apps and Services. Apress, 2018.

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Clark, Mike. Pragmatic Project Automation: How to Build, Deploy, and Monitor Java Apps. The Pragmatic Programmers, 2004.

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Macharla, Pradeep. Android Continuous Integration: Build-Deploy-Test Automation for Android Mobile Apps. Apress, 2017.

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Android Apps In One Hour For Lawyers. American Bar Association, 2013.

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Book chapters on the topic "Appr. automatico"

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Lopatin, Ben. "Automating." In Django Standalone Apps. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5632-9_21.

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Garg, Shankar. "Automating Different Apps." In Appium Recipes. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2418-2_3.

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Relan, Kunal. "Automating App Testing." In iOS Penetration Testing. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2355-0_6.

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Gupta, Rakesh. "Automating Business Processes." In Salesforce Platform App Builder Certification. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5479-0_6.

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Chandrasekara, Chaminda, and Pushpa Herath. "Functional Testing for Windows Apps." In Hands-On Functional Test Automation. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4411-1_4.

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Maskrey, Molly K. "Home Automation Project." In App Development Recipes for iOS and watchOS. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1820-4_16.

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Rosenthal, Hanaan. "Scripting Apple Apps." In AppleScript: A Comprehensive Guide to Scripting and Automation on Mac OS X. Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-5352-5_25.

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Stefanovic, Vladimir, and Milos Katinski. "App Service and Containers in Azure Compute." In Pro Azure Administration and Automation. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7325-8_5.

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Zhang, Mu, and Heng Yin. "Automatic Generation of Security-Centric Descriptions for Android Apps." In SpringerBriefs in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47812-8_6.

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Kapoor, Sheetika, Kalpna Sagar, and B. V. R. Reddy. "Speedroid: A Novel Automation Testing Tool for Mobile Apps." In International Conference on Innovative Computing and Communications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2354-6_29.

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Conference papers on the topic "Appr. automatico"

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Gunathilaka, Sadeep, and Nisansa de Silva. "Automatic Analysis of App Reviews Using LLMs." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013375600003890.

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Mitterer, Felix, Christian Burmer, and Konstantin Schekotihin. "Automating Routing of Product Returns for Failure Analysis with Neuro-Symbolic AI." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0047.

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Abstract Before failure analysis (FA) can start, a product must get from the customer to the correct location, which is not always trivial, especially in larger companies with many FA labs. Automating and optimizing this routing, therefore reducing manual labor, misrouting, and turnaround time, requires the development of problem-solving methods utilizing both explicit and implicit knowledge. The first type refers to known routing rules, e.g., based on lab equipment or certifications, whereas the second type must be induced from available data, e.g., by analyzing customer descriptions using ma
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Liu, Changkun, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, and Tristan Braud. "HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610903.

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Rey, William P., Kieth Wilhelm Jan D. Rey, and Althea Jodie B. Labayan. "Smart Aquatics: Navigating Discus Fish Keeping with Mobile App and Automation." In 2024 6th International Conference on Computer Communication and the Internet (ICCCI). IEEE, 2024. http://dx.doi.org/10.1109/iccci62159.2024.10674509.

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Bhanuprakash, C., and Deepika J. "Automation and Optimization of Manual Marks Entry with Smart Scanning App." In 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF). IEEE, 2025. https://doi.org/10.1109/comp-sif65618.2025.10969936.

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Hu, Bowen, Ziyi Yu, Yadong Zhou, et al. "A Positive-Unlabeled Learning Approach for Detecting Malicious In-app Purchases on the App Store." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711841.

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Gaikwad, Aryan, Gayatri Nimbolkar, Roshani Keswani, Vaishnavi Kolhe, and Geeta S. Navale. "Mindful Meadows: A Mental Health App." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10775202.

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Zhou, Chenyu, Xian Zhan, Linlin Li, and Yepang Liu. "Automatic Maturity Rating for Android Apps." In Internetware 2022: 13th Asia-Pacific Symposium on Internetware. ACM, 2022. http://dx.doi.org/10.1145/3545258.3545282.

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Ronquillo, Nahum, Kjartan Birgisson, Morten Ørevik, et al. "Case Study of the World's First Offshore Implementation of a Drilling Automation Platform with Multiple Closed-Loop Applications." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212468-ms.

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Abstract Drilling automation technology has been successfully deployed and in operation for several years. While the technologies covered in this paper had already been deployed separately in other regions, this case study is not only Malaysia's first drilling automation project but also the world's first deployment that includes the automation platform combined with two third-party closed-loop control applications (Apps). The study details the technologies, their implementation approach, and key performance indicators (KPIs) to measure the success of the project. Technical and procedural meas
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Dai, Shuaifu, Alok Tongaonkar, Xiaoyin Wang, Antonio Nucci, and Dawn Song. "NetworkProfiler: Towards automatic fingerprinting of Android apps." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566868.

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Reports on the topic "Appr. automatico"

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Boruchowicz, Cynthia, Florencia López Bóo, Benjamin Roseth, and Luis Tejerina. Default Options: A Powerful Behavioral Tool to Increase COVID-19 Contact Tracing App Acceptance in Latin America? Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002983.

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Being able to follow the chain of contagion of COVID-19 is important to help save lives and control the epidemic without sustained costly lockdowns. This is especially relevant in Latin America, where economic contractions have already been the largest in the regions history. Given the high rates of transmission of COVID-19, relying only in manual contact tracing might be infeasible. Acceptability and uptake of contact tracing apps with exposure notifications is key for the implementation the “test, trace and treat” triad. In the first study of its kind in Latin America, we find that for a nat
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Vikström, Carina, ed. Bidrag från Högskolepedagogisk utvecklingsdag 2023: Del 1. Karlstads universitet, 2024. https://doi.org/10.59217/sycc4161.

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I föreliggande rapport kan du ta del av sju olika utvecklingsprojekt inom undervisning och examination vid Karlstads universitet. Samtliga bidrag i rapporten har utvecklats från arbeten som presenterats vid Universitetspedagogiska enhetens högskolepedagogiska utvecklingsdag, KauKan (tidigare högskolepedagogisk konferens). I årets första upplaga får vi bland annat en insyn i hur lärare hjälpt studenter att tydligare förstå ett specifikt lärandemål och hur det går att effektivisera arbetet med inlämningsuppgifter i stora studentgrupper med hjälp av automatisk återkoppling och automatisk bedömnin
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Leitfaden für Aussagekräftige Metadaten. WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, 2019. http://dx.doi.org/10.26128/2021.247.

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Open Data bezeichnet den freien Zugang und die entgeltfreie Bereitstellung von maschinenlesbaren Daten. Werden die Daten ausschließlich von der öffentlichen Verwaltung bereitgestellt, spricht man auch von Open Government Data. Auch privatwirtschaftlich agierende Unternehmen stellen Daten offen zur Verfügung und verfolgen damit durchaus auch kommerzielle Interessen. Die Deutsche Bahn bspw. ist sehr aktiv in der Bereitstellung von Open Data. Ihr Ziel liegt dabei in der Suche nach neuen Anwendungsmöglichkeiten der Daten. Sie unterstützt diesen Prozess aktiv mit ihren DB Hackathons. Hierbei entste
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