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Journal articles on the topic 'Smart test selection'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Alkhazi, Bader, and Amin Alipour. "Multi-objective test selection of smart contract and blockchain applications." PeerJ Computer Science 9 (October 17, 2023): e1587. http://dx.doi.org/10.7717/peerj-cs.1587.

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The ability to create decentralized applications without the authority of a single entity has attracted numerous developers to build applications using blockchain technology. However, ensuring the correctness of such applications poses significant challenges, as it can result in financial losses or, even worse, a loss of user trust. Testing smart contracts introduces a unique set of challenges due to the additional restrictions and costs imposed by blockchain platforms during test case execution. Therefore, it remains uncertain whether testing techniques developed for traditional software can

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Shiva Krishna Kodithyala. "Smart Test Selection in CI/CD: Optimizing Pipeline Efficiency." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 289–97. https://doi.org/10.32996/jcsts.2025.7.4.33.

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Smart test selection has emerged as a critical optimization strategy in continuous integration and continuous deployment (CI/CD) pipelines, transforming how organizations approach software testing and quality assurance. The integration of artificial intelligence and machine learning techniques has revolutionized test selection processes, enabling more precise identification of relevant test cases while significantly reducing execution times. Through advanced pattern recognition and behavioral analysis, modern test selection systems demonstrate remarkable capabilities in maintaining comprehensi

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Praveen, Kumar Koppanati. "Handling Flaky Tests in Java and JavaScript Using Retry Mechanisms and Smart Test Selection." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 73–78. https://doi.org/10.5281/zenodo.13912487.

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Flaky tests are tests that exhibit inconsistent results despite no changes in the codebase. They have become a significant challenge in modern software development, particularly in languages like Java and JavaScript, which are widely used in enterprise and web applications. This paper explores strategies for managing flaky tests through retry mechanisms and smart test selection approaches. We investigate common causes of flaky tests in these two environments and propose solutions that mitigate their impact on Continuous Integration/Continuous Deployment (CI/CD) pipelines. We also review existi

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Mansky, Susannah, and Elsa L. Gunter. "Safety of a Smart Classes-Used Regression Test Selection Algorithm." Electronic Notes in Theoretical Computer Science 351 (September 2020): 51–73. http://dx.doi.org/10.1016/j.entcs.2020.08.004.

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Gowda, Shreyank N., Marcus Rohrbach, and Laura Sevilla-Lara. "SMART Frame Selection for Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (2021): 1451–59. http://dx.doi.org/10.1609/aaai.v35i2.16235.

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Video classification is computationally expensive. In this paper, we address theproblem of frame selection to reduce the computational cost of video classification.Recent work has successfully leveraged frame selection for long, untrimmed videos,where much of the content is not relevant, and easy to discard. In this work, however,we focus on the more standard short, trimmed video classification problem. Weargue that good frame selection can not only reduce the computational cost of videoclassification but also increase the accuracy by getting rid of frames that are hard toclassify. In contrast

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Chien-Hsiang Wu, Chien-Hsiang Wu, and Chin-Feng Lai Chien-Hsiang Wu. "Data-driven Diversity Antenna Selection for MIMO Communication using Machine Learning." 網際網路技術學刊 23, no. 1 (2022): 001–9. http://dx.doi.org/10.53106/160792642022012301001.

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<p>With the popularity of wireless application environments, smart antenna technology has completely changed the communication system. In order to improve the quality of wireless transmission, smart antennas have been widely used in wireless devices. Wireless signal modeling and prediction machine learning gradually replaced the traditional smart antenna selection method in the antenna selection solution. This article utilizes mobile devices to adjust the diversity antenna pattern for test verification in a MIMO wireless communication environment. The proposed method manipulates signal p

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Aldhaheri, Mohammed Abdulla Mohammed Mesfer, Bo Xia, and Madhav Nepal. "Identifying Key Selection Criteria for Smart Building Technologies in the United Arab Emirates Prisons." Buildings 12, no. 8 (2022): 1171. http://dx.doi.org/10.3390/buildings12081171.

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The selection of an appropriate smart building technology has been a challenge for stakeholders, because no specific selection criteria are currently available. This study aimed to identify the potential selection criteria for the selection of smart building technologies for prison buildings in the United Arab Emirates. A questionnaire survey was conducted to evaluate the relative importance of smart building technologies and the specific selection criteria. 238 experts from the public and the private sector with rich experience in the construction and prison industry participated in the surve

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Amer, N., and G. Nagy. "Smart Materials for Modern Facades: An AI-Powered Selection Process." IOP Conference Series: Earth and Environmental Science 1396, no. 1 (2024): 012014. http://dx.doi.org/10.1088/1755-1315/1396/1/012014.

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Abstract According to the mid-21st century’s technological advancements, artificial intelligence has gained popularity as a transformative tool due to its immense integration in the evolving field of architecture. Evidently, it is being used in the building skin design to enhance the energy efficiency and to reduce the continuously rising energy waste and consumption problem in office buildings. Despite AI’s immense advancements, it lacks sufficient data with regards to the turf of smart skin design in office building for energy optimisation. Hence, this research aims to develop a framework fo

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Setiyawan, Bayu Aji, Sri Siswanti, and Muhammad Hasbi. "Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier." Jurnal Ilmiah SINUS 18, no. 2 (2020): 63. http://dx.doi.org/10.30646/sinus.v18i2.475.

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Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is

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PU, CUN-LAI, and WEN-JIANG PEI. "INTEGRATING LOCAL AND GLOBAL ROUTING ON SCALE-FREE NETWORKS." International Journal of Modern Physics C 22, no. 03 (2011): 297–304. http://dx.doi.org/10.1142/s0129183111016221.

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Network navigation is one of the main problems in large communication networks. We propose a new routing strategy in which some smart nodes in networks deliver messages to next hops on the paths towards destinations according to Yan's algorithm while the other nodes just deliver messages randomly. We test our routing strategy in a large scale-free network. Simulations show that the average delivery time decreases with increase of number of smart nodes, while the maximal network capacity increases with number of smart nodes in the network. Moreover our strategy is much more efficient when emplo

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Manguri, Kamaran, and Aree A. Mohammed. "SMART OPTIMIZER SELECTION TECHNIQUE: A COMPARATIVE STUDY OF MODIFIED DENSNET201 WITH OTHER DEEP LEARNING MODELS." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 13, no. 4 (2023): 39–43. http://dx.doi.org/10.35784/iapgos.5332.

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The rapid growth and development of AI-based applications introduce a wide range of deep and transfer learning model architectures. Selecting an optimal optimizer is still challenging to improve any classification type's performance efficiency and accuracy. This paper proposes an intelligent optimizer selection technique using a new search algorithm to overcome this difficulty. A dataset used in this work was collected and customized for controlling and monitoring roads, especially when emergency vehicles are approaching. In this regard, several deep and transfer learning models have been comp

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Cao, Keyan, Yuxin Kang, Xinlei Wang, and Zhongyang Wang. "Integrated Smart Contract Vulnerability Detection Technology Based on AFL Fuzzing Strategy and a Lightweight Seed Selection Strategy." Applied and Computational Engineering 150, no. 1 (2025): 63–70. https://doi.org/10.54254/2755-2721/2025.22282.

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With the continuous development of blockchain technology, thousands of smart contracts have been deployed on the blockchain, and the number of smart contract vulnerabilities has increased significantly. In the task of smart contract vulnerability detection, fuzz testing methods are usually used for detection. Existing AFL-based methods are inefficient in generating test cases that meet complex path constraints. This study addresses the limitations of traditional fuzz testing techniques in detecting vulnerabilities related to strictly constrained conditional branches in Ethereum smart contracts

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Coppo, M., P. Pelacchi, F. Pilo, G. Pisano, G. G. Soma, and R. Turri. "The Italian smart grid pilot projects: Selection and assessment of the test beds for the regulation of smart electricity distribution." Electric Power Systems Research 120 (March 2015): 136–49. http://dx.doi.org/10.1016/j.epsr.2014.06.018.

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Nasution, Tigor Hamonangan, Muhammad Hanafi, Kasmir Tanjung, and Kasmir Fahmi. "Integrated Smart Plug Design." MATEC Web of Conferences 220 (2018): 05001. http://dx.doi.org/10.1051/matecconf/201822005001.

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Smart plug technology currently for user providing one plug module that is able to monitor and control the state of electrical appliance. The addition of plug number gives some deficiencies such as from cost point of view. By looking at the disadvantage made the tool which is able to monitor and control electrical appliance so that smart plug more than one integrated plug module. The manufacture of plug modules includes system design, sensor type selection in module, data delivery process, comparison of measurement module with measuring instrument and system test. From the results of the desig

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Saparova, Ulbosin, Klara Iniyatova, Qabilbay Toqsanbaev, and Kundizay Joldasova. "Construction of smart actuators brakes for smart city using geoinformation technologies." BIO Web of Conferences 140 (2024): 01009. http://dx.doi.org/10.1051/bioconf/202414001009.

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Actuator manufacturers are presently developing cutting-edge technologies, such as GIS technologies, that fulfill the necessary standards for performance, weight, and power consumption. Historically, manufacturers have selected actuators based on their ability to manipulate and regulate loads. This conceals the dynamic components of certain action solutions. Metrics of significant importance include the duration required to generate this mechanical energy and the amount of work the mechanism performs per unit mass. We utilized these values to establish a selection methodology. Considering the

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Srikanth Perla. "AI-driven Test Automation for Salesforce and System Integration." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1120–29. https://doi.org/10.32628/cseit251112116.

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Integrating artificial intelligence into test automation frameworks has transformed quality assurance practices in Salesforce environments and system integrations. AI-driven solutions have revolutionized testing approaches through smart test selection, risk-based analysis, and dynamic element identification capabilities. These advancements enable organizations to detect defects earlier, reduce false positives, and significantly decrease test maintenance efforts. Self-healing locators and context-aware selection mechanisms have enhanced test stability across dynamic web applications, while patt

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Monga, Reema, Deepti Aggrawal, and Jagvinder Singh. "Smart Beta Investing: An Alternative Investment Paradigm in Emerging Indian Equity Market." Organizations and Markets in Emerging Economies 13, no. 1 (2022): 209–37. http://dx.doi.org/10.15388/omee.2022.13.77.

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This paper fundamentally looks at the novel concept of Smart Beta investing in constructing a more efficient and well-diversified alternative investment. Smart beta has been a popular investment philosophy, although emerging countries have been slower to adopt and execute it. In this way, the study investigates the existence, performance, and robustness of smart beta strategies in a divergent financial market. Moreover, it is an initial attempt to integrate the framework of stock selection and stock weighting to construct and test smart beta strategies against the traditional Indian market ben

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Xiang, Min, Haolin Huang, Chuan He, Rui Li, and Lingkang Zeng. "Comprehensive Performance Evaluation Strategy for Communication Networks Selection in Smart Grid." Cybernetics and Information Technologies 16, no. 1 (2016): 39–56. http://dx.doi.org/10.1515/cait-2016-0003.

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Abstract Different communication networks are used in the different application environment of the smart grid. So, how to effectively select the communication networks with the optimal comprehensive performance is an important issue for the power management corporations. A novel comprehensive performance evaluation based on Exponential Scale Analytic Hierarchy Process (ESAHP) and Grey Analytic Hierarchy Process (GAHP) for the communication networks selection is proposed in the electricity information acquisition system. The ESAHP is used to calculate the weight of each communication performanc

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Fernanda, Anisa, Eny Enawaty, and Rahmad Rasmawan. "Peningkatan Hasil Belajar Konfigurasi Elektron dengan Menggunakan KIT SELECTION (Smart Electron Configuration)." JURNAL EKSAKTA PENDIDIKAN (JEP) 4, no. 2 (2020): 155. http://dx.doi.org/10.24036/jep/vol4-iss2/506.

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This research was motivated by the low learning outcomes of students on the electron configuration subject matter at SMA negeri 2 Sungai Raya. This research aims to determine whether there was a difference in student learning outcomes between those who were given learning using KIT Selection media and those not on the electron configuration subject matter. Quasi experimental in the form of pretest-posttest control group design in the type of this study. The sample of this study were X IPA 2 as the control class and X IPA 3 as the experiment class. In experiment class, cooperative learning assi

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García-Martínez, Eduardo, José Francisco Sanz, Jesús Muñoz-Cruzado, and Juan Manuel Perié. "A Review of PHIL Testing for Smart Grids—Selection Guide, Classification and Online Database Analysis." Electronics 9, no. 3 (2020): 382. http://dx.doi.org/10.3390/electronics9030382.

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The Smart Grid is one of the most important solutions to boost electricity sharing from renewable energy sources. Its implementation adds new functionalities to power systems, which increases the electric grid complexity. To ensure grid stability and security, systems need flexible methods in order to be tested in a safe and economical way. A promising test technique is Power Hardware-In-the-Loop (PHIL), which combines the flexibility of Hardware-In-the-Loop (HIL) technique with power exchange. However, the acquisition of PHIL components usually represents a great expense for laboratories and,

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Utami, Mita Azania, Suroso Suroso, and Irma Salamah. "Design for A Remote Smart Home Monitor Using the Internet of Things (IoT)." Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 9, no. 2 (2022): 115–24. http://dx.doi.org/10.33019/jurnalecotipe.v9i2.3148.

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Designing a Remote Smart Home Monitor Based on the Internet of Things (IoT) using the NodeMCU ESP32 microcontroller as a wifi network provider and also utilizing Firebase Technology as a data storage medium. This remote smart home monitor with the Internet of Things concept is safe because only people who have certain access can control home appliances such as turning on lights, fans, opening doors, filling water in the bath, preventing theft, in Remote Smart Home Monitors also uses CCTV cameras that utilize special applications, with the selection of these communication technologies efficient

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Liubčuk, Vladislav, Virginijus Radziukynas, Darius Naujokaitis, and Gediminas Kairaitis. "Grid Nodes Selection Strategies for Power Quality Monitoring." Applied Sciences 13, no. 10 (2023): 6048. http://dx.doi.org/10.3390/app13106048.

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In the past few years, technical progress has determined traditional electric power system conversion to Smart Grids, and consequently empowered a worldwide renaissance in the forgotten PQ field. Since the installation of PQ monitors is currently associated with high investments and operational costs, it is inappropriate to install a monitor on each grid busbar. Hence, grid operators must establish the best cost–benefit scenario for monitors installation and achieve maximal observability with a limited number of analyzers. Firstly, this paper presents a review of the state-of-the-art of displa

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Jian, Xu-Jun, Chao-Hung Wang, Tieh-Cheng Fu, Shiyang Lyu, David Taniar, and Tun-Wen Pai. "Smartwatch-Based Data Analytics and Feature Selection for Heart Failure Assessment." International Journal of Mobile Computing and Multimedia Communications 16, no. 1 (2025): 1–13. https://doi.org/10.4018/ijmcmc.371205.

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Patients with heart failure require long-term or frequent hospitalization, which places a heavy burden on medical resources. The six-minute walk test is a simple and cost-effective method for assessing aerobic capacity and endurance. It does not require specialized personnel or sophisticated equipment and involves recording walking distance, blood pressure, heart rate, and oxygen saturation level within a fixed time interval. In this study, we provided patients with heart failure with a smart watch and an application tool, enabling them to perform the six-minute walk test at home. The applicat

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Kaur, Jasleen, and S. R. N. Reddy. "Design and Development of Lightweight Operating System Framework for Smart Devices." International Journal of Software Innovation 9, no. 2 (2021): 136–49. http://dx.doi.org/10.4018/ijsi.2021040108.

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Immeasurable extension of technology for smart devices is perceived in the present scenario, and has resulted in advancements in the growth of such smart devices in diverse domains. An application specific, customized, and lightweight operating system (OS) eventually builds the complete smart device. The user may face difficulties in developing application specific customized OS because of lack of knowledge or resource constraints. The aim of this paper is to assist the users through a generic smart framework that significantly reduces the constraints in the design and development of smart dev

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UM, Arshad. "Deep Learning: A Climate Smart Agriculture Tool for Groundnut Farmers." Journal of Energy and Environmental Science 2, no. 1 (2024): 1–13. http://dx.doi.org/10.23880/jeesc-16000111.

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Groundnut is an oil seed crop, which is grown widely in the country, and approximately 80% of groundnut is produced in the rainfed condition. Unlike weather factors even the prices of agriculture commodities are volatile in nature and the groundnut prices also behaves in an unusual pattern. A traditional farmer faces recurrent challenges. Deep learning methods and the accessibility of satellite imagery have, however, created new opportunities for more accurate and effective agricultural yield estimates. Large-scale yield estimation and understanding the impact of the variability of agricultura

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Nasution, Fathia Zuhra, Nursantri Yanti, and Nurul Inayah. "The Influence Of Marketing Mix On Customer Loyalty Using Smart IB Savings Products." Jurnal Manajemen Bisnis 11, no. 2 (2024): 918–32. http://dx.doi.org/10.33096/jmb.v11i2.848.

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The aim of this research is to find out whether customer loyalty to the Smart iB Savings product of Bank Sumut Kcp Syariah Karya is influenced by the Marketing Mix during the 2018–2023 period. Participants in this research were customers of Bank Sumut Kcp Syariah Karya. Quantitative research is the methodology used. Researchers only selected a sample of 33 customer respondents, so the selection was carried out using a saturated sampling technique. Validated and reliable questionnaires were included in the data collection methods. Multiple linear regression, classical assumption test, F hypothe

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JULIANTO, S.Sos., MM., CHt, PEBI. "MENCIPTAKAN SMART ASN MENUJU 4.0 DI KANTOR CAMAT KECAMATAN SITINJAU LAUT KABUPATEN KERINCI." JURNAL ADMINISTRASI NUSANTARA 4, no. 2 (2021): 25–38. http://dx.doi.org/10.51279/jan.v4i2.495.

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This study aims to determine SMART ASN Towards 4.0 in the Apparatus of Sitinjau Laut District, Kerinci. This study uses a descriptive qualitative research method with in-depth interview approach using interview guidelines with the problem under study and documentation. From the results of data analysis, it can be concluded that to determine the quality of SMART ASN Towards 4.0 at the Sitinjau Laut District Office at this time, researchers used six dimensions of quality SMART ASN Towards 4.0, namely Recruitment of Prospective Civil Servants (CPNS) using Computer Assisted Test (CAT), Development

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Putri, Yessy Prima, Defiariany Defiariany, and Tri Aprianto Sundara. "SPK Pemilihan Jurusan SNMPTN Menggunakan Metode SMART Berbasis Web di SMA Negeri 1 Lubuk Alung." JOSTECH: Journal of Science and Technology 2, no. 2 (2022): 131–42. http://dx.doi.org/10.15548/jostech.v2i2.4368.

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The Joint Selection for State University Entrance (SBMPTN) is a very important moment for prospective students to enter the world of lectures. This selection path is the biggest and most attractive opportunity for prospective students to be able to enter State Universities (PTN). SBMPTN is a selection route that is held openly and uses a written test-based selection. Prospective students need to prepare everything carefully to take part in the SBMPTN selection. When the SBMPTN registration was opened, the burden on the guidance and counseling teacher at SMA 1 Lubuk Alung became heavy because m

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Kushartanto, Ahmad Ilham, and Rima Tamara Aldisa. "Data Mining Perbandingan Algoritma K-Nearest Neighbor dan Naïve Bayes dalam Prediksi Penerimaan Beasiswa." Journal of Computer System and Informatics (JoSYC) 5, no. 1 (2023): 196–207. http://dx.doi.org/10.47065/josyc.v5i1.4566.

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One of the goals of the Indonesian State as stated in the Constitution of the Republic of Indonesia is to make the nation's life more intelligent. The government, through the Ministry of Education, Culture, Research and Technology (Kemendikbudristek), is implementing a 12-year compulsory education program. The Indonesia Smart College Card program will start to be implemented in 2021, where initially this program was called bidikmisi. The Indonesia Smart College Card program is intended to help children who experience economic difficulties or are constrained by the costs of continuing their edu

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Nivetha Martin, Said Broumi, S.Sudha, and R.Priya. "Neutrosophic MARCOS in Decision Making on Smart Manufacturing System." Neutrosophic Systems with Applications 4 (April 11, 2023): 12–32. http://dx.doi.org/10.61356/j.nswa.2023.14.

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Business firms prefer software-based smart manufacturing systems to monitor and supervise all production activities in a decentralized manner. The choice of software decides the degree of manufacturing robustness. This paper proposes a neutrosophic-based MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method of MCDM with single-valued triangular neutrosophic numbers to solve the software selection problem. The proposed neutrosophic method is applied to hypothetical data to test the efficacy of the method. The results obtained using the proposed method are comp

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Alharthi, Reem, Mohammed Qadrouh, and Wadee Alhalabi. "Loss of consciousness detection model for smart triage." Journal of Infrastructure, Policy and Development 8, no. 8 (2024): 2687. http://dx.doi.org/10.24294/jipd.v8i8.2687.

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Falling is one of the most critical outcomes of loss of consciousness during triage in emergency department (ED). It is an important sign requires an immediate medical intervention. This paper presents a computer vision-based fall detection model in ED. In this study, we hypothesis that the proposed vision-based triage fall detection model provides accuracy equal to traditional triage system (TTS) conducted by the nursing team. Thus, to build the proposed model, we use MoveNet, a pose estimation model that can identify joints related to falls, consisting of 17 key points. To test the hypothesi

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Sumathi, Appasamy, Muthuramalingam Akila, Rocío Pérez de Prado, Marcin Wozniak, and Parameshachari Divakarachari. "Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness." Sensors 21, no. 22 (2021): 7611. http://dx.doi.org/10.3390/s21227611.

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Smart home and smart building systems based on the Internet of Things (IoT) in smart cities currently suffer from security issues. In particular, data trustworthiness and efficiency are two major concerns in Internet of Things (IoT)-based Wireless Sensor Networks (WSN). Various approaches, such as routing methods, intrusion detection, and path selection, have been applied to improve the security and efficiency of real-time networks. Path selection and malicious node discovery provide better solutions in terms of security and efficiency. This study proposed the Dynamic Bargaining Game (DBG) met

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Asep Rokhyadi PS and Gabriel Rudra Renata. "Pengaruh Green Training, Green Recruitment And Selection Dan Green Empowerment Terhadap Green Performance Management Di Bengkel Sepeda Motor AHASS Bantul." Trending: Jurnal Manajemen dan Ekonomi 1, no. 4 (2023): 342–65. http://dx.doi.org/10.30640/trending.v1i4.1689.

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This study aims to analyze the effect of Green Training, Green Recruitment and Selection, and Green Empowerment on Green Performance Management at the Ahass Motorcycle Repair Shop, Bantul. This research was conducted through a quantitative approach. Primary data collection is distributing questionnaires to 214 respondents with a sampling technique using double sampling. The analysis tool is the validity test along with the Smart program reliability test (PLS) version 4.0, with Variance Based Structural Equation Modeling (SEM) as the basis of the approach. The results of the study show that if

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Sangeeta, K. "Fake News Detection Using Feature Selection and Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 3878–87. http://dx.doi.org/10.22214/ijraset.2022.44772.

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Abstract: The days have come when people are increasingly using apps on their smart devices. Every day everyone generates millions of data per second. As for usage increases, so soon negative actions such as rumors and false stories on social media also increase. To resolve this issue, we have proposed a "Fake News Detection using Feature Selection and Deep Learning" feature. To develop an automated rumor detection model, this study prefers a hybrid model to separate rumors using an Deep Learning (Convolution Neural Network) and a filter-wrapper (Artificial Bee Colony) classified by the Naïve

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Munawwarah S, Hidayatul, Niken Farida, and Delfi Rosalina Duha. "Pengaruh Media Pembelajaran Kincir Pintar Terhadap Kemampuan Keaksaraan Awal Anak Usia 5-6 Tahun di TK Santo Thomas 1 Medan." Journal on Education 7, no. 2 (2024): 8655–59. https://doi.org/10.31004/joe.v7i2.7732.

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This research aims to determine the effect of smart wheel learning media on the early literacy abilities of children aged 5 - 6 years at Santo Thomas 1 Medan Kindergarten. This type of research is quantitative research with a quasi-experimental research design. The sample selection technique used was random sampling. The sample in this study was all children aged 5 - 6 years at Kindergarten Santo Thomas 1 Medan, totaling 44 children who were combined into two groups, namely the experimental class and the control class. This research was analyzed using SPSS 22 with the normality test, homogenei

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Salem, Milad, Shayan Taheri, and Jiann-Shiun Yuan. "An Experimental Evaluation of Fault Diagnosis from Imbalanced and Incomplete Data for Smart Semiconductor Manufacturing." Big Data and Cognitive Computing 2, no. 4 (2018): 30. http://dx.doi.org/10.3390/bdcc2040030.

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The SECOM dataset contains information about a semiconductor production line, entailing the products that failed the in-house test line and their attributes. This dataset, similar to most semiconductor manufacturing data, contains missing values, imbalanced classes, and noisy features. In this work, the challenges of this dataset are met and many different approaches for classification are evaluated to perform fault diagnosis. We present an experimental evaluation that examines 288 combinations of different approaches involving data pruning, data imputation, feature selection, and classificati

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Adisaputra, Wahyu Agung, and Suwarjo Suwarjo. "ANALISIS KESIAPAN KABUPATEN KUTAI KARTANEGARA DALAM MENERAPKAN SMART CITY." POPULIKA 11, no. 2 (2023): 27–43. http://dx.doi.org/10.37631/populika.v11i2.953.

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The selection of Kutai Kartanegara Regency as 1 of 25 regions in implementing the work program of the 100 Smart City Movement based on the Republic of Indonesia Ministry of Communication and Information Decree Number 265.KOMINFO/DJAI/AI.01.05/05/2017, is both an opportunity and a challenge to make this happen. This study aims to analyze the readiness of Kutai Kartanegara Regency in implementing Smart City in several dimensions. This study used a qualitative descriptive approach with informants from implementers at the Office of Communication and Information and Bappeda of Kutai Kartanegara Reg

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Siahaan, Edita Revine, and Samuel M. Simanjuntak. "The Education Of Smart School Snacks towards the Ability of Choosing Snacks at Preschool Children in IKI PTPN VII Way Galih Kindergarten, Tanjung Bintang, Propinsi Lampung." Abstract Proceedings International Scholars Conference 6, no. 1 (2018): 89. http://dx.doi.org/10.35974/isc.v6i1.1386.

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Preschool children are the golden age period. The Indonesian Ministry of Health (2014) revealed that around 40%-44% of snacks hawkers in children’s school do not fulfill the health requirements. Snacks consumed in schools are very risky due to biological and chemical contamination which can damage the health of children. Risks can pose long term and short term effects on the health of the preschool children. Parents together with their children choose unhealthy snacks within their school premises. The study aimed to test the approach of education of smart school snacks towards the ability of s

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Mozaffarilegha, Mahdi, and Ehsan Damaneh. "Optimal Selection of Conductors in Ghaleganj Radial Distribution Systems." Iraqi Journal for Electrical and Electronic Engineering 17, no. 2 (2021): 212–18. http://dx.doi.org/10.37917/ijeee.17.2.24.

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Selection of the best type and most suitable size of conductors is essential for designing and optimizing the distribution network. In this paper, an effective method has been proposed for proper selection and incorporation of conductors in the feed part of a radial electricity distribution network considering the depreciation effect of conductors. Increasing the usability of the electric energy of the power grid for the subscribers has been considered per load increment regarding the development of the country. Optimal selection and reconstruction of conductors in the power distribution radio

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Perdani, C. G., and S. Gunawan. "A short review: Nanocellulose for smart biodegradable packaging in the food industry." IOP Conference Series: Earth and Environmental Science 924, no. 1 (2021): 012032. http://dx.doi.org/10.1088/1755-1315/924/1/012032.

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Abstract The role of food packaging has increased beyond by changing consumer preferences and expectations. In addition to these essential functions, the packaging extends shelf life, improves quality, and develops from environmentally friendly material. Nanocellulose is one of the renewable and natural source products that has been widely studied. Nanocellulose can develop into food packaging material due to its properties of oxygen and water vapor barriers when used as layers, fillers in composites and thin films stand cents. However, the use of nanocellulose is still limited due to its lack

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Lee, Peter, Heepyung Kim, M. Sami Zitouni, et al. "Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review." JMIR mHealth and uHealth 10, no. 11 (2022): e40797. http://dx.doi.org/10.2196/40797.

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Background As a form of the Internet of Things (IoT)–gateways, a smart helmet is one of the core devices that offers distinct functionalities. The development of smart helmets connected to IoT infrastructure helps promote connected health and safety in various fields. In this regard, we present a comprehensive analysis of smart helmet technology and its main characteristics and applications for health and safety. Objective This paper reviews the trends in smart helmet technology and provides an overview of the current and future potential deployments of such technology, the development of smar

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Alabdulwahab, Saleh, Young-Tak Kim, Aria Seo, and Yunsik Son. "Generating Synthetic Dataset for ML-Based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments." Applied Sciences 13, no. 19 (2023): 10951. http://dx.doi.org/10.3390/app131910951.

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Networks within the Internet of Things (IoT) have some of the most targeted devices due to their lightweight design and the sensitive data exchanged through smart city networks. One way to protect a system from an attack is to use machine learning (ML)-based intrusion detection systems (IDSs), significantly improving classification tasks. Training ML algorithms require a large network traffic dataset; however, large storage and months of recording are required to capture the attacks, which is costly for IoT environments. This study proposes an ML pipeline using the conditional tabular generati

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Kaewta, Chutchai, Charuay Savithi, and Ekkachai Naenudorn. "An optimization of multiple gateway location selection in long range wide area network networks." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 2 (2023): 1011. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp1011-1020.

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The adoption of smart agricultural technology in rural areas is still limited in terms of network infrastructure supported. As a result, farmers continue to practice traditional farming that mainly focuses on human labor and requires experience in planning the production of agricultural products in unstable weather conditions, which makes the farmers highly risky. Currently, long range (LoRa) technology is a smart agriculture support tool that will enable the Internet of Things devices to a large number of end nodes distributed over a wide geographical area. They could access cloud computing f

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Chutchai, Kaewta, Savithi Charuay, and Naenudorn Ekkachai. "An optimization of multiple gateway location selection in long range wide area network networks." An optimization of multiple gateway location selection in long range wide area network networks 30, no. 2 (2023): 1011–20. https://doi.org/10.11591/ijeecs.v30.i2.pp1011-1020.

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The adoption of smart agricultural technology in rural areas is still limited in terms of network infrastructure supported. As a result, farmers continue to practice traditional farming that mainly focuses on human labor and requires experience in planning the production of agricultural products in unstable weather conditions, which makes the farmers highly risky. Currently, long range (LoRa) technology is a smart agriculture support tool that will enable the Internet of Things devices to a large number of end nodes distributed over a wide geographical area. They could access cloud computing f

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Foong, Tan Qing, and Siti Zubaidah Ismail. "DESIGN, FABRICATION, AND ANALYSIS OF A SMART MOWER." Journal of Modern Manufacturing Systems and Technology 3 (October 1, 2019): 17–23. http://dx.doi.org/10.15282/jmmst.v2i2.2734.

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This paper focusses on optimisation of vibration and sound levels of a lawnmower from process cutting with the cutting blade. Technical requirements have been defined for the project including customer requirement, cost model of the product, the checklist of product design specification, concept generation, concept selection and prototyping. These are the fundamental technical requirement to build a safe and efficient of Smart Mower. The experiment was analysed using 200 to 900 wedge angles of cutting blade to cutting grass field simulation for the test of levels of vibration and sound. From t

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Ardi, Ardi, and Irfan Fadhli. "SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BEASISWA DOKTOR UNTUK DOSEN POTENSIAL DENGAN METODE SMART." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no. 1 (2020): 39–46. http://dx.doi.org/10.33330/jurteksi.v7i1.911.

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Abstract: The role of lecturers in higher education is one of the most influential parts of the quality of students produced. Lecturer educational qualifications are also an important aspect of improving academic and institutional quality. Selection of foundation scholarships in the form of doctoral education currently has problems in choosing prospective lecturers. In the selection of doctoral scholarships for potential lecturers, there is still subjectivity in their selection manually. As a supporting medium in determining the selection of potential lecturers to obtain doctoral education fou

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Beylin, Dmitry, Josef Haik, Erik Biros, et al. "Smart Polymeric Wound Dressing for Treating Partial-Thickness Burns: A Preliminary Preclinical Study on the Porcine Model." European Burn Journal 4, no. 1 (2023): 20–34. http://dx.doi.org/10.3390/ebj4010004.

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Several so-called “smart” dressings are available for burn injuries to promote faster wound healing, and this technology has recently reported substantial advancements. However, the selection of an appropriate dressing for partial-thickness burns requires consideration of several crucial elements, including exudate management, conformability, antimicrobial properties, ease of application and removal, patient comfort, and cost-effectiveness. This preliminary feasibility study uses a porcine model to test the INTELIGELS product (Smart Bandage) for partial-thickness burns treatment. Artificially

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Repuri, Raja Kishore, and John Pradeep Darsy. "Energy-Efficient LoRa Routing for Smart Grids." Sensors 23, no. 6 (2023): 3072. http://dx.doi.org/10.3390/s23063072.

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Energy-efficient routing protocols in Internet of Things (IoT) applications are always of colossal importance as they improve the network’s longevity. The smart grid (SG) application of the IoT uses advanced metring infrastructure (AMI) to read and record power consumption periodically or on demand. The AMI sensor nodes in a smart grid network sense, process, and transmit information, which require energy, which is a limited resource and is an important parameter required to maintain the network for a longer duration. The present work discusses a novel energy-efficient routing criterion in an

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Ni Luh Putu Ning Septyarini Putri Astawa and Ida Ayu Oka Purnami. "Equipping Young Entrepreneurs: How Smart Presentation Apps Foster Vocational High-School Students’ Innovation." International Journal of Community Service Learning 8, no. 2 (2024): 140–48. http://dx.doi.org/10.23887/ijcsl.v8i2.78338.

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Smart presentation apps are software or digital platforms designed to help users create engaging and effective presentations. They are often equipped with features such as a wide selection of slide designs, visual elements, templates, animation effects, and the ability to easily insert images, videos, graphics, and text. This research aims to improve young entrepreneurs' and vocational high school students' presentation skills in presenting products or businesses in the ideation stage. This activity involved 80 participants and consisted of several stages: team division, needs analysis, soluti

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Dudek, Tomasz, Tygran Dzhuguryan, Bogusz Wiśnicki, and Kamil Pędziwiatr. "Smart Sustainable Production and Distribution Network Model for City Multi-Floor Manufacturing Clusters." Energies 15, no. 2 (2022): 488. http://dx.doi.org/10.3390/en15020488.

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This study focuses on management ways within a city multi-floor manufacturing cluster (MFMC). The application of MFMC in megapolises is closely related to the problem of urban spatial development and the problem of matching transport and logistics services. The operation of the MFMC depends on the efficiency of production and transport management considering technical, economic, end environmental factors. Therefore, conditions affecting decision-making in the field of production planning by MFMCs and accompanying transports within the agglomeration area with the use of the production-service p

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