Applications of Gegenbauer polynomial collocation method on the aspects of interfacial layer thickness and thermal conductivity of solid-liquid layer in time-dependent nanofluid fl... by R. Naveen Kumar, Thanesh Kumar.K, R.S.Varun Kumar

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Is It Really a Paradox? A Mixed-Methods, Within-Country Analysis of the Gender Gap in STEM Education by Islam Abu-Asaad, Maria Charles, Yariv Feniger, Gila Manevich-Malul, Halleli Pinson

“…Findings support arguments positing gender-specific effects of postmaterialist, individualistic value systems, and suggest that the cultural and organizational processes that generate larger gender gaps in more affluent countries may also play out within countries.…”
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Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe by Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin, Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki

“…Several limitations, including latency and distance sensitivity, are addressed in this system with edge computing alongside adaptive algorithms. The key contributions of this research are as follows: First, developing a real-time and cost-effective solution for remote stroke rehabilitation. …”
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Stabilization of Contour Milling on CNC Machines by Yuri Petrakov, Artur Myhovych

“…This parameter determines the cutting intensity and is responsible for forming the required surface quality of the part. A computer program was developed to simulate the contour milling process by determining the main characteristic of the MRR process. …”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Since existing methods may not be suitable for big traffic data processing, this paper presents a MapReduce-based Parallel Three-Phase K-Means (Par3PKM) algorithm for solving traffic subarea division problem on a widely adopted Hadoop distributed computing platform. …”
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Comprehensive Micromagnetic Modeling: Practical Techniques, Applications, and Emerging Challenges by Ahmet Bahadir Trabzon, Taichi Goto, Mehmet Cengiz Onbasli

“…Micromagnetic models play a pivotal role in advancing magnetic materials and spintronic device designs, enabling dynamic and equilibrium studies essential for next-generation information processing and neuromorphic computing. This tutorial provides a comprehensive guide to the physics, practical tools, and applications of micromagnetic modeling using MuMax3. …”
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Tectonic depressions on the East-European and Siberian platforms: numerical modeling of convection beneath the Eurasian continent by V. V. Chervov, N. A. Bushenkova, G. G. Chernykh

“…Mathematical modeling is a basic method for studying convective processes in the mantle. Our paper presents a numerical model of convection, which is based on the implicit artificial compressibility method. …”
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Comparative evaluation of pseudonym-based anonymisation techniques for connected autonomous vehicles (CAVs) by Al Tariq Sheik, Jia Liu, Mehrdad Dianati, Carsten Maple

“…., anonymity and unlinkability) and computing efficiency of the solutions designed to address security and privacy aspects. …”
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Identifying and understanding the nonlinear behavior of memristive devices by Sahitya Yarragolla, Torben Hemke, Fares Jalled, Tobias Gergs, Jan Trieschmann, Tolga Arul, Thomas Mussenbrock

“…Abstract Nonlinearity is a crucial characteristic for implementing hardware security primitives or neuromorphic computing systems. The main feature of all memristive devices is this nonlinear behavior observed in their current-voltage characteristics. …”
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Research on damage detection technology for wind turbine blade acoustic signals by fusion of sparse representation, compressive sensing and deep learning by Liang Wang, Chun Yang, Chao Yuan, Yanan Liu, Yanqing Chen

“…It has good adaptability under different computing resources, and the processing delay does not exceed 0.45s under complex environments and large data volumes. …”
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Marketplaces as the basis of e-commerce: technological potential and investment horizons by S.V. Pokhylko, Y.S. Shvydka

“…In particular, special attention is paid to digital innovations and technologies that form the basis of their operations, including artificial intelligence (AI), blockchain, robotics, data analytics, Internet of Things (IoT) technologies, and cloud computing. The authors provide a detailed analysis of the role of these technologies in optimizing business processes and forecast their growth rates in the coming years. …”
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Construction of Smart Fire Protection IoT System for Shanghai Rail Transit by LI Jinghu, YANG Ji, LIU Yue

“…By using technologies such as cloud computing and big data, a deep integration of informatization and fire protection is achieved, significantly improving the fire protection management level of Shanghai Rail Transit.…”
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Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter under Complex Transportation Environments by Wei Sun, Min Sun, Xiaorui Zhang, Mian Li

“…The experimental results show that the proposed algorithm can well solve the interference of shadow and occlusion and realize accurate detection and robust tracking of moving vehicles under complex transportation environments, which has the potentiality to be processed on a cloud computing platform.…”
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MAIN FACTORS OF ECONOMIC, LAND, AND ENVIRONMENTAL IMPACT DUE TO RAPID TECHNOLOGICAL ADVANCEMENTS by V. Nazarenko

“…Industry 4.0 has brought transformative changes across economic, environmental, and land use dimensions, driving innovations through IoT, AI, and cloud computing technologies. This revolution fosters economic growth, promotes circular economies, and integrates renewable energy technologies. …”

Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods by Panagiota-Kyriaki Revelou, Efstathia Tsakali, Anthimia Batrinou, Irini F. Strati

“…Prospects include enhancing predictive models for food safety with the development of hybrid Artificial Intelligence (AI) models and the automation of quality control processes using AI-driven computer vision, which could revolutionize food safety inspections. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

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Adapted Speed Control of Two-Stroke Engine with Propeller for Small UAVs Based on Scavenging Measurement and Modeling by Yifang Feng, Tao Chen, Qinwang Liu, Heng Zhao

“…However, variable air pressure can impact the engine’s air exchange and combustion processes, causing minor changes that affect the engine speed and result in variations in propeller thrust. …”
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LEGAL ISSUES OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE INFORMATION SOCIETY AND IN PUBLIC ADMINISTRATION by POLYAKOVA Tatyana Anatolyevna, TROYAN Natalia Anatolyevna

“…Research methods: the work is carried out using the methods of dialectics and system analysis, allowing for a comprehensive study of digitalization processes both at the federal level and at the level of the constituent entities of the Russian Federation, as well as within the unified system of public power. …”
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Do New World pitvipers “scale‐down” at high elevations? Macroecological patterns of scale characters and body size by Robert C. Jadin, Joseph R. Mihaljevic, Sarah A. Orlofske

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