Resource Allocation With Edge-Cloud Collaborative Traffic Prediction in Integrated Radio and Optical Networks by Bowen Bao, Hui Yang, Qiuyan Yao, Lin Guan, Jie Zhang, Mohamed Cheriet

“…Therefore, an efficient resource allocation scheme needs to consider certain issues: 1) a comprehensive perspective of traffic prediction; 2) a release of pressure on the transmission pipeline during the prediction process; and 3) a reduction of loss of edge nodes due to the computation. In this paper, benefiting from machine learning, we propose a resource allocation with edge-cloud collaborative traffic prediction (TP-ECC) in integrated radio and optical networks, where an efficient resource allocation scheme (ERAS) is designed based on the prediction results with the gated recurrent unit model. …”
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Cache Invalidation-Based Optimization in Next Generation Wireless Network: Taxonomy, Review, and Future Directions by Rajeev Tiwari, Sumit Kumar, Shashank Sheshar Singh, Harish Kumar Shakya

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Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN by Luiza Scapinello Aquino, Laio Oriel Seman, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Stefano Frizzo Stefenon, Gabriel Villarrubia Gonzalez

“…This paper addresses the challenge of modeling the complex spatial and temporal dependencies inherent in wind power generation by presenting a comprehensive survey of existing spatiotemporal forecasting methods and introducing an innovative deep learning approach. …”
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Multistage adaptive cyberattack in power systems with CNN identification feedback loops by Mohannad Alhazmi, Alexis Pengfei Zhao, Xi Cheng, Chenlu Yang

“…This study presents the first integrated framework combining CNN, reinforcement learning, and blockchain from an adversarial perspective, offering new insights into the evolving threat landscape and guiding the development of future cyber-resilience strategies in multi-energy systems.…”
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MPJ-SPARK Integration-Based Technique to Enhance Big Data Analytics in High Performance Computing Environments by Sakhr A. Saleh, Maher A. Khemakhem, Fathy E. Eassa

“…Traditional analytics tools lag HPC in computational efficiency, whereas machine learning workloads require substantial resources. However, integrating HPC and big data presents challenges due to architectural differences. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Meanwhile, consensus analysis focuses on the communication topology of the nodes, ensuring that all nodes converge to a unified data state at any instant. …”
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Comprehensive Analysis on Complementary FET by Ayush Bhardwaj, Debashish Dash, Aditi Anant, Ved M. Bhanushali, Adarsh Kushwah, Ipshita Mishra, Shubham, Chandan Kumar Pandey

“…This paper delves into the analytical modeling and performance enhancement of CFETs for advanced technology nodes, comparing them with other transistor architectures like lateral GAAFETs. …”
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Exploring the biological functions and immune regulatory roles of IRAK3, TNFRSF1A, CX3CR1, and JUNB in T2DM combined with MAFLD: integrated bioinformatics and single-cell analysis by Qin Wang, Xiaoqi Li, Kaidierdan Wushoulaji, Jinyang Wang, Li Wan, Ye Yang, Xueli Gong

“…ObjectiveDiabetes mellitus combined with nonalcoholic fatty liver disease is a prevalent and intricate metabolic disorder that presents a significant global health challenge, imposing economic and emotional burdens on society and families. …”
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Behavior Trees for Smart Robots Practical Guidelines for Robot Software Development by Eric Dortmans, Teade Punter

“…Behavior Trees enable flexible planning and replanning of robot behavior while supporting better maintainable decision-making than traditional Finite State Machines. This paper presents an overview of lessons, which we have learned when applying Behavior Trees to various autonomous robots. …”
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A novel approach for detecting malicious hosts based on RE-GCN in intranet by Haochen Xu, Xiaoyu Geng, Junrong Liu, Zhigang Lu, Bo Jiang, Yuling Liu

“…For malicious host detection, this paper proposes the Relational-Edge Graph Convolutional Network (RE-GCN) model, which can directly aggregate and learn features on edges and use them to accurately classify nodes, compared to other GNN models. …”
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Exploiting Mobile Ad Hoc Networking and Knowledge Generation to Achieve Ambient Intelligence by Anna Lekova

“…EFMF employs unsupervised online one-pass fuzzy clustering method to recognize nodes' mobility context from social scenario traces and ubiquitously learn “friends” and “strangers” indirectly and anonymously.…”
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Recurrent Thymic Carcinoma Treated With Median Sternotomy, Innominate Vein Replacement for Superior Vena Cava, and Iodide Implantation: A Case Report and Review of the Literature by Zhong‐zheng Chen, Wen‐dong Qu, Xing‐shu Zhang, Yong‐xiang Song

“…Case A 51‐year‐old male with no significant medical history presented with eyelid edema and a mediastinal mass. …”
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