Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey by Afroditi Blika, Stefanos Palmos, George Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis

“…However, amid this evolution, the paramount concern remains the security and privacy of the data traversing these networks. …”
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A lightweight intrusion detection approach for CAN bus using depthwise separable convolutional Kolmogorov Arnold network by Wenwen Zhao, Yikun Yang, Hao Hu, Yanzhan Chen, Fan Yu

“…Abstract Ensuring the cybersecurity of modern vehicles is paramount as connected and autonomous systems become increasingly prevalent. …”
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A Comprehensive Analysis of Multi-Channel Mac and Clustering Protocols for Robust and Energy-Efficient Wireless Sensor Networks by Sushma P. Pawale, Poornima G. Patil

“…Wireless Sensor Networks have become indispensable in various applications, from environmental monitoring to health tracking. …”
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Improvement of the Voltage Profile and Loss Reduction in Distribution Network Using Moth Flame Algorithm: Wolaita Sodo, Ethiopia by S. Balakumar, Akililu Getahun, Samuel Kefale, K. Ramash Kumar

“…The algorithms used in this paper to determine the appropriate location and size of the Static Var Compensator (SVC) in the Distribution Network (DN) are Moth Flame Optimization (MFO) and Particle Swarm Optimization (PSO). …”
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Using convolutional neural networks to count parrot nest‐entrances on photographs from the largest known colony of Psittaciformes by Gabriel L. Zanellato, Gabriel A. Pagnossin, Mauricio Failla, Juan F. Masello

“…Here, we took advantage of convolutional neural networks (CNN) to count the total number of nest‐entrances in 222 photographs covering the largest known Psittaciformes (Aves) colony in the world. …”
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Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer by Abdulrahman Alshalawi, Wadood Abdul, Ghulam Muhammad

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The Role of Attention Mechanism in Generating Image Captions: An Innovative Approach with Neural Network-Based Seq2seq Model by Zeynep Karaca, Bihter Daş

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Emergence of a tipping subnetwork during a critical transition in networked systems: A new avenue to extreme events by Timo Bröhl, Klaus Lehnertz

“…We uncover subsystems, network vertices, and the interrelatedness of certain subsystems, network edges, as tipping elements in a networked dynamical system, forming a time-evolving tipping subnetwork. …”
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Toward efficient smart management: A review of modeling and optimization approaches in electric vehicle-transportation network-grid integration by Mince Li, Yujie Wang, Pei Peng, Zonghai Chen

“…The increasing scale of electric vehicles (EVs) and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid. Consequently, effective smart management in the EV-transportation network-grid integration system has become paramount. …”
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MPIFNet: A Multi-Path Information Fusion Fault Diagnosis Network Based on Time Series Two-Dimensional Transformation by Chaowei Zang, Yingxin Liang, Qiang Niu

“…To address this issue, a multi-path information fusion fault diagnosis network (MPIFNet) has been proposed for rolling bearings. …”
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BaAM-YOLO: a balanced feature fusion and attention mechanism based vehicle detection network in aerial images by Xunxun Zhang, Xu Zhu

“…Vehicle detection in aerial imagery is of paramount importance for various intelligent transportation applications, including vehicle tracking, traffic control, and traffic behavior analysis. …”
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Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods by Ilyas Masudin, Isna Zahrotul Habibah, Rahmad Wisnu Wardana, Dian Palupi Restuputri, S. Sarifah Radiah Shariff

“…<i>Background:</i> This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. …”
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Fault Diagnosis Method for Centrifugal Pumps in Nuclear Power Plants Based on a Multi-Scale Convolutional Self-Attention Network by Chen Li, Xinkai Liu, Hang Wang, Minjun Peng

“…The health status of rotating machinery equipment in nuclear power plants is of paramount importance for ensuring the overall normal operation of the power plant system. …”
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Secure and efficient trust enabled routing in mobile ad hoc network using game theory and grey wolf optimisation techniques by Ujwala Ravale, Gautam M. Borkar

“…Abstract Mobile Ad hoc Networks (MANETs) are crucial wireless networks for military, corporate, and emergency use, yet they are vulnerable to disruptions from malicious nodes. …”
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Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation. by Van-Trang Nguyen, Quoc Bao Diep

“…This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation named MixNet. …”
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3D reconstruction of digital rocks based on StyleGAN and transformer by Ting Zhang, Wenqing Zhang

“…Abstract The 3D reconstruction of digital rocks assumes a paramount role within various engineering applications, necessitating careful consideration of the methods employed. …”
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On the performance of non‐profiled side channel attacks based on deep learning techniques by Ngoc‐Tuan Do, Van‐Phuc Hoang, Van Sang Doan, Cong‐Kha Pham

“…Abstract In modern embedded systems, security issues including side‐channel attacks (SCAs) are becoming of paramount importance since the embedded devices are ubiquitous in many categories of consumer electronics. …”
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Strategic scaling initiatives and client networking dynamics for small and medium-sized enterprises growth: a comprehensive case study analysis by Ioannis Christodoulou, Satrio Utomo Putranto, Moustafa Haj Youssef, Aspasia Simillidou, Jana Chovancová

“…Purpose – The research investigates scaling and client networking in small and medium-sized enterprises (SMEs), using ABCD, an Indonesian telecom tower provider, as a case study. …”
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A super resolution generative adversarial networks and partition-based adaptive filtering technique for detect and remove flickers in digital color images. by Thangavel Shanmugaraja, Natesapillai Karthikeyan, Subburathinam Karthik, Balamurugan Bharathi

“…Eliminating flickering from digital images captured by cameras equipped with a rolling shutter is of paramount importance in computer vision applications. …”
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A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network by Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang

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