HARDWARE SUPPORT PROCEDURES FOR ASYMMETRIC AUTHENTICATION OF THE INTERNET OF THINGS by Петро Сергійович Клімушин, Тетяна Миколаївна Соляник, Олександр Олександрович Можаєв, Віталій Вікторович Носов, Тетяна Петрівна Колісник, Василь Вікторович Янов

“…Subject of research: procedures of asymmetric authentication of Internet of Things nodes to ensure the highest level of security using cryptographic chips. …”
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The method of hierarchy analysis in modeling the strategy of formation of innovative potential by I. S. Klimenko

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Chained to the App: German Bike Couriers Riding into Digital Capitalism by Jasmin Schreyer

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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…To achieve this, a novel hybrid method is proposed that integrates the Gazelle Optimization Algorithm (GOA), Feature Mode Decomposition (FMD), and a Transformer-based classification model. …”
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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

“…Additionally, it offers a valuable reference for addressing imbalance issues in similar research fields.…”
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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

“…The methodology innovatively integrates principal stress orientation trendline tracking algorithms with cumulative probability sampling techniques, achieving quantitative modeling of alternating grille structures composed of crush belt (breccia belt and fracture belt) and bedrock belt. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…To overcome these limitations, a novel Multi-Agent Reinforcement Learning (MARL) algorithm is proposed in this research, combined with Golden Jackal Optimization (GJO). …”
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New design of an intelligent electromagnetic torque controller based on neural network and fractional calculus: Variable-speed wind energy systems application by Yattou El Fadili, Ismail Boumhidi

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Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte, Richard C. Millar, Robert Walter Meyer

“…To manage remotely piloted aircraft system (RPAS) networks effectively, this research presents a multi-objective location-routing optimization model. …”
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SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network by Jiahui E, Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Fumiyuki Adachi

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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty by Yuanyuan Zhang, Jiping Li, T. Aaron Gulliver, Huafeng Wu, Guangqian Xie, Xiaojun Mei, Jiangfeng Xian, Weijun Wang, Linian Liang

“…Unmanned aerial vehicles (UAVs) have garnered significant research interest across various fields due to their excellent maneuverability, scalability, and flexibility. …”
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NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking by Igor Kabashkin

“…The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) for digital twin management in aviation, with a focus on component lifecycle tracking. …”
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Mapping AI’s role in NSW governance: a socio-technical analysis of GenAI integration by Luis Lozano-Paredes

“…Through document analysis, actor-network mapping, and scenario analysis of potential breakdowns, the research reveals that while NSW has established comprehensive AI governance frameworks, significant gaps remain in addressing the unique challenges posed by GenAI systems. …”
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Stronger compact representations of object trajectories by Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá, Nieves R. Brisaboa, Travis Gagie

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Machine learning ensemble technique for exploring soil type evolution by Xiangyuan Wu, Kening Wu, Shiheng Hao, Er Yu, Jinghui Zhao, Yan Li

“…The research, conducted in the Tongzhou District of Beijing, uses 5,000 sampling points selected via genetic algorithms for model training, 237 surface samples for consistency testing, and 97 profiles for field validation. …”
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Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews by Heti Aprilianti, Khothibul Umam, Maya Rini Handayani

“…These findings indicate that SVM is the most effective algorithm in this context, providing practical contributions for developers of the NU Online digital religious platform and contributing to research in Indonesian natural language processing.…”
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A Longitudinal Perspective on Digital Skills for Everyday Life: Measurement and Empirical Evidence by Kiran Kappeler

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Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market by Ekaterina Popovska, Galya Georgieva-Tsaneva

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A sustainable approach to deep geothermal energy exploitation: feasibility of clustered U-shaped multi-branch wells by Tao Xu, Tao Xu, Shouding Li, Shouding Li, Zhaobin Zhang, Zhaobin Zhang, Yanlong Kong, Yanlong Kong, Bo Zheng, Bo Zheng, Shiwei Ma, Shiwei Ma, Supeng Zhang, Supeng Zhang, Jianming He, Jianming He, Xiao Li, Xiao Li

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A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools by Francesco Canonaco, Francesco Canonaco, Joverlyn Gaudillo, Nicole Astrologo, Fabio Stella, Enzo Acerbi

“…These tasks, referred to as structural learning and parameter learning, are actively investigated by the research community, with several algorithms proposed and no single method having established itself as standard. …”
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