Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

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Application of 5G + edge computing technology in intelligent monitoring construction of electricity business office by Wei Cui, Junwei Li, Wei Ge, Bo Zhang, Tianwei Liu

“…This paper also proposes an edge scheduling algorithm based on game theory, which enables each edge device to choose the optimal data processing task according to its own utility function through a non-cooperative game model, realizing the optimization of the efficacy and accuracy of data processing. …”
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The phenomenon of digital paternalism as a factor in the transformation of state youth policy by  S. V. Polyakov

“…The scientific novelty lies in the conceptualization of «digital paternalism» as a qualitatively new stage in the evolution of state youth policy, synthesizing elements of traditional paternalism with the capabilities of digital platforms and algorithmic governance. The practical significance of the research consists in identifying specific mechanisms for implementing digital paternalism that increase youth engagement, reduce negative perceptions of state initiatives, and optimize state resources. …”
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A Survey on UAV Control with Multi-Agent Reinforcement Learning by Chijioke C. Ekechi, Tarek Elfouly, Ali Alouani, Tamer Khattab

“…This survey aims to systematically review and categorize state-of-the-art MARL approaches applied to UAV control, identify prevailing trends and research gaps, and provide a structured foundation for future advancements in cooperative aerial robotics. …”
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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

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INFORMATION TECHNOLOGY FOR AUTOMATED ANALYSIS OF DEGRADATION AND RESTORATION PROCESSES OF COMPLEX ORGANIZATIONAL AND TECHNICAL SYSTEMS by Andrey V. Tristan, Sergey V. Osiyevskiy, Valery G. Patalaha

“…Employment of the decision support systems (DSS) both in composition perspective control and combat systems and as separate programmatic modules is the long-range scientific research of contemporaneity, related to creation of intellectual information technologies. …”
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Digitalization of human resource management: current trends and challenges for Russian enterprises by Mikhail K. Chernyakov, Irina A. Chernyakova

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MANAGING THE DEVELOPMENT OF AGRO-INDUSTRIAL CLUSTERS by D. V. Zavyalov, O. V. Saginova, N. B. Zavyalova

“…Among them the main are: lack of relevant strategy of agrarian and industrial complex, imperfection of methodology of formation of clusters and lack of motives of consolidation of subjects of small and medium business in this sphere; backwardness of production, logistic and innovative infrastructure; and also the low level of commercialization of scientific research in the agro-industrial sector. As one of the measures capable to refract a similar negative situation, development of the concept of management of agro-industrial clusters formed on the basis of an information system of "a digital cluster" which includes algorithms and methods of optimization of information, material and financial flows for achievement of desirable indicators of economic activity by all participants of cluster structure is recommended. …”
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Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review by Sunshine A. De Caires, Chaney St Martin, Melissa A. Atwell, Fuat Kaya, Glorious A. Wuddivira, Mark N. Wuddivira

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Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network by Yueyue Deng, Pierre-Philippe J. Beaujean, Edgar An, Edward Carlson

“…Both the LAAF and GMOOP algorithms are well suited in poor acoustic network condition and dynamic environment. …”
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Blockchain-Enabled Robust-Game Electricity Transaction Model for a Multi-Microgrid System Considering Wind Power Uncertainty by Jiayu Wu, Yang Liu, Qiming Yang, Wenfeng Li

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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

“…Overall, the research shows how ML emphasizes the value of interdisciplinary cooperation in solving challenging medical problems.…”
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Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…This research contributes to the evolving understanding of big data's role in addressing transnational challenges through improved monitoring systems, predictive capabilities, and evidence-based policy interventions.…”
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The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…This article underscores the urgent need for interdisciplinary research, investment, and international cooperation to fully realize AI's transformative potential in these critical fields.…”
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SV-SAE: Layer-Wise Pruning for Autoencoder Based on Link Contributions by Joohong Rheey, Hyunggon Park

“…The resulting pruned model is referred to as a Shapley Value-based Sparse AutoEncoder (SV-SAE). Using cooperative game theory, the proposed algorithm models the autoencoder as a coalition of interconnected units and links, where the Shapley value quantifies their individual contributions to overall performance. …”
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Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics by Xingda Li, Xueqi He, Yu Zhang, Xinyuan Hao, Anqi Xiong, Jiayu Huang, Biying Jiang, Zaiyu Tong, Haiyan Huang, Lian Yi, Wenjia Chen

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Supervised Reinforcement Learning-Based Collaborative Master–Slave Harvest Control Study in Wheat by Zhikai Ma, Chao Zhang, Wei Wang, Hao Wang, Helong Yu, Chunjiang Zhao

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Secrecy-Oriented Transmitter Optimization for Visible Light Communication Systems by Hong Shen, Yuqin Deng, Wei Xu, Chunming Zhao

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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

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