Change and resilience of the energy trade backbone network in the Belt and Road region by NIU Xiaoyu, YU Zhaoyuan, CHEN Haiyan, CHEN Wei

“…The analysis of the change and resilience of the BRI energy trade network holds paramount significance for comprehensively understanding the BRI energy trade system and advancing energy cooperation strategies within the region. …”
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A survey of social cybersecurity: Techniques for attack detection, evaluations, challenges, and future prospects by Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen Carley, Ala Al-Fuqaha

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Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results by S. Spinsante, S. Squartini, L. Gabrielli, M. Pizzichini, E. Gambi, F. Piazza

“…In this sense, an energy-efficient design of the network architecture, and the evaluation of Energy Harvesting techniques to sustain its nodes, becomes of paramount importance. …”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…The rapid proliferation of the Power Internet of Things (PIoT) has given rise to severe network security threats, with eavesdropping attacks emerging as a paramount concern. …”
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Recognition of Industrial Spare Parts Using an Optimized Convolutional Neural Network Model by Chandralekha Mohan, Takfarinas Saber, Priyadharshini Jayadurga Nallathambi

“…Spare parts search and retrieval processes are of paramount importance in manufacturing and supply chains. …”
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Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification by Chunyan Lyu, Hai Huang, Lixi Zhang, Wenting Zhu, Zhengyang Wang, Kejun Wang, Caidong Jiao

“…To mitigate these challenges, we introduce a Multi-Branch Feature Alignment Network (MBFA) comprising three distinct deep neural network branches. …”
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Aerial-Terrestrial Heterogeneous Networks for Urban Air Mobility: A Performance Analysis by Abdullah Abu Zaid, Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini

“…Ensuring reliable communication for UAM aircraft is of paramount importance in maintaining operational safety. …”
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Decentralized Energy Swapping for Sustainable Wireless Sensor Networks Using Blockchain Technology by Umar Draz, Tariq Ali, Sana Yasin, Mohammad Hijji, Muhammad Ayaz, EL-Hadi M. Aggoune

“…Wireless sensor networks deployed in energy-constrained environments face critical challenges relating to sustainability and protection. …”
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Energy-Efficient Sleep/Wake Scheduling for Acoustic Localization Wireless Sensor Network Node by ChengFang Zhen, Wenyi Liu, Yongrui Liu, Anbin Yan

“…Both energy-saving and synchronization issues are the paramount concern in wireless sensor networks (WSNs). …”
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Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis by Dac-Binh Ha, Truong, Tien-Vu Truong, Nguyen-Son Vo, Van Nhan Vo

“…In the 6G mobile networks, ensuring low latency and low energy consumption is paramount. …”
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Securing UAV Flying Ad Hoc Wireless Networks: Authentication Development for Robust Communications by Muhammet A. Sen, Saba Al-Rubaye, Antonios Tsourdos

“…As UAVs become increasingly integrated into critical operations, ensuring the security of their communication channels emerges as a paramount concern. This paper investigates the importance of safeguarding UAV communication against cyber threats, considering both intra-UAV and UAV–ground station interactions in the scope of the Flying Ad Hoc Networks (FANETs). …”
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Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages by Gabriel Gomes, Alexandre T. Bender, Arthur Cerveira, Larissa A. Freitas, Ulisses B. Corrˆea

“…Techniques such as Sentiment Analysis are paramount to understanding and quantifying human emotion expressed in text data. …”
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Wavelet neural network algorithm for hybrid GA in infrared CO2 gas sensor by Jun Wang, Yuanxi Wang

“…To address this issue, the research team innovatively combined the genetic algorithm (GA) and the wavelet neural network (WNN) to develop a solution for the temperature compensation problem of the infrared CO2 gas sensor. …”
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Detection of external defects of tomato crop using appearance parameters by convolutional neural networks by Nima Noorali, Ali Rajabipour, Hamed Sardari, Soleiman Hosseinpour

“…While field tomatoes are typically utilized for industrial purposes, greenhouse varieties are predominantly consumed fresh. Quality is a paramount factor influencing tomato consumption, hence this research endeavors to leverage novel technology to enhance quality assessment. …”
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A Modified TCP BBR to Enable High Fairness in High-Speed Wireless Networks by Jinlin Xu, Wansu Pan, Haibo Tan, Longle Cheng, Xiru Li, Xiaofeng Li

“…In high-speed wireless networks, ensuring fairness is of paramount importance to guarantee equitable bandwidth allocation among diverse traffic types and to enhance overall network utilization. …”
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Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks by T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali

“…Abstract Handover (HO) management in 5G networks is an essential and sensitive mechanism as the deployment of 5G networks is undergoing rapid changes. …”
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FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence by Koffka Khan

“…This is especially important in sensor networks and edge intelligence, where data privacy, bandwidth constraints, and data locality are paramount. …”
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Convolutional neural networks with transfer learning for natural river flow prediction in ungauged basins by Henrique Echternacht, Luciana Campos, Alfeu Dias de Martinho, Danilo Pinto Moreira de Souza, Rodrigo Barbosa de Santis, Tiago Silveira Gontijo, Matteo Bodini, Angela Gorgoglione, Camila Martins Saporetti, Leonardo Goliatt

“…Abstract With the increasing integration of artificial intelligence (AI) in several scientific domains, there is a rising demand for advanced AI tools capable of addressing advanced research challenges. A challenge of paramount importance lies in accurately predicting the streamflow within river basins. …”
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NeuroAdaptiveNet: A Reconfigurable FPGA-Based Neural Network System with Dynamic Model Selection by Achraf El Bouazzaoui, Omar Mouhib, Abdelkader Hadjoudja

“…These advantages are particularly crucial for edge computing and embedded applications, where computational constraints and energy efficiency are paramount. The ability of NeuroAdaptiveNet to tailor its neural network parameters and architecture on a per-input basis paves the way for more efficient and accurate AI solutions in resource-constrained environments.…”
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Enhancing Security in DNP3 Communication for Smart Grids: A Segmented Neural Network Approach by Shahid Allah Bakhsh, Muhammad Shahbaz Khan, Oumaima Saidani, Nada Alasbali, S. Qasim Abbas, Muhammad Almas Khan, Jawad Ahmad

“…The Distributed Network Protocol 3 (DNP3) protocols focus on securing critical infrastructure communication in sectors such as energy and supervisory control and data acquisition (SCADA) systems. …”
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