Artificial intelligence in the Russian regions by J. A. Varlamova, E. N. Korneychenko

“…The article analyzes the trends in the application of artificial intelligence technologies in the Russian regions. …”
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Lithium-Ion Battery Degradation Based on the CNN-Transformer Model by Yongsheng Shi, Leicheng Wang, Na Liao, Zequan Xu

“…However, its application in lithium-ion battery degradation research requires a massive amount of data, which is disadvantageous for the online monitoring of batteries. …”
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Logical integration of information systems based on expert systems by Evgeniy S. Shevtsov, Roman V. Shamin

“…The application of logical integration enables intelligent data analysis using various IS. …”
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Why to Fail Fast and Often: A Strategy for OT Safety and Security Evaluation by Mukund Bhole, Thilo Sauter, Sabrina Semper, Wolfgang Kastner

“…This is then transformed into a C#-based GUI, enabling tasks like network scanning, application and interface identification, and AI-powered data extraction. …”
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Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions by Phanupong Tempiem, Rardchawadee Silapunt

“…This paper proposes the GD (Geometric Distribution) algorithm, a novel approach to enhance the default Adaptive Data Rate (ADR) mechanism in the Long-Range Wide Area Network (LoRaWAN). …”
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Hydrologic Decision Support in the Nile Basin: Creating Status Products from the GEOGLOWS Hydrologic Model by Rachel Huber Magoffin, Riley C. Hales, E. James Nelson, Calvince Wara, Gustavious P. Williams, Andrew South, Zeleke K. Challa

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TraceTogether contact tracing: a Smart Nation innovation by Michael Motet Hansen, Bharat Dahiya

“…The research employs a mixed-methods approach, including a comprehensive literature review, conceptual framework development, and an in-depth case study of the TraceTogether application. Primary data was collected through semi-structured interviews with stakeholders such as policymakers, technology developers, and citizens and an analysis of digital platforms and feedback mechanisms. …”
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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…The field application in 5 wells shows that the efficiency is improved by 30% and the remote measurement accuracy is increased by 20%. …”
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Digitalisation in Civil Law: Digital Reputation by Salima Sarina, Kultay Adilova, Aigerim Aralbayeva, Elmira Kurmanaliyeva, Galym Teleuyev

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Blockchain Technology in Accounting and Auditing by A. A. Baev, V. S. Levina, A. V. Reut, A. A. Svidler, I. A. Kharitonov, V. V. Grigor’ev

“…The decision to use blockchain in combination with appropriate data analytics can help in accounting processes, as well as in conducting daily transactions involved in the audit. …”
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Towards Secure Internet of Things: A Coercion-Resistant Attribute-Based Encryption Scheme with Policy Revocation by Yuan Zhai, Tao Wang, Yanwei Zhou, Feng Zhu, Bo Yang

“…With the development and application of the Internet of Things (IoT), the volume of data generated daily by IoT devices is growing exponentially. …”
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Impact of SAR Image Quantization Method on Target Recognition With Neural Networks by Kangwei Li, Di Wang, Daoxiang An

“…Experimental results indicate that models trained with adaptive quantization can learn more general features; linear quantization exhibits poor generalization when not enhanced, but this can be improved through data augmentation. Furthermore, pretraining and data augmentation techniques significantly enhance the classification performance of models under different quantization strategies, providing scientific evidence for optimizing SAR imaging system design and constructing reasonable datasets.…”
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Machine learning framework to estimate ridership loss in public transport during external crises: case study of bus network in Stockholm by Mahsa Movaghar, Erik Jenelius, David Hunter

“…Abstract Recent technologies for recording and storing data, as well as advancements in data processing techniques, have opened up novel possibilities for urban planners to design a more optimal public transport network. …”
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Machine learning and public health policy evaluation: research dynamics and prospects for challenges by Zhengyin Li, Hui Zhou, Zhen Xu, Qingyang Ma

“…BackgroundPublic health policy evaluation is crucial for improving health outcomes, optimizing healthcare resource allocation, and ensuring fairness and transparency in decision-making. With the rise of big data, traditional evaluation methods face new challenges, requiring innovative approaches.MethodsThis article reviews the principles, scope, and limitations of traditional public health policy evaluation methods and explores the application of machine learning in evaluating public health policies. …”
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Improving Learning Design Using Learning Analytics in Relation to Study Experience by Satu Aksovaara, Sami Määttä, Tommi Kärkkäinen, Minna Silvennoinen

“…Our case study aims to demonstrate how the practical application of learning analytics (LA)-generated data on students’ psychological qualities can guide teachers in enhancing their instructional delivery and, consequently, enhance student experiences. …”
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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

“…Machine learning plays a crucial role in analyzing user data, identifying consumer behavior, personalizing content, and optimizing marketing campaigns. …”
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Infrared and Visible Camera Integration for Detection and Tracking of Small UAVs: Systematic Evaluation by Ana Pereira, Stephen Warwick, Alexandra Moutinho, Afzal Suleman

“…These consist of the acquisition of real data captured from a workstation on the ground, followed by image calibration, image alignment, the application of bias-removal techniques, and data augmentation methods to artificially create images. …”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…Crucially, AI outputs require clinician verification alongside multidimensional clinical data.DiscussionFuture research must prioritize algorithm optimization, data quality improvement, and enhanced AI transparency. …”
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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…The system was designed with a multi-layer architecture, including a perception layer (real-time collection of deformation data) and a network layer (using a robot to carry a data acquisition terminal and transmit data to a cloud server through wireless communication technology), platform layer (using cloud computing and big data technology to store, process, and analyze collected data), and application layer (visualization platform, convenient operation, and analysis of data). …”
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MULTIAGENT APPROACH FOR MANAGING THE INFORMATION SPACE OF CORPORATE SYSTEMS by Valentin Filatov, Valerii Semenets

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