Optimal Partitioning of Unbalanced Datasets for BGP Anomaly Detection by Rahul Deo Verma, Pankaj Kumar Keserwani, Vinesh Kumar Jain, Mahesh Chandra Govil, M. W. P. Maduranga, Valmik Tilwari

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A Fast Image Encryption Scheme Based on a Four-Dimensional Variable-Parameter Hyperchaotic Map and Cyclic Shift Strategy by Guidong Zhang, Yanhao Zhao, Yanpei Zheng, Yulin Shen, Jun Huang

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A Hybrid Long Short-Term Memory-Graph Convolutional Network Model for Enhanced Stock Return Prediction: Integrating Temporal and Spatial Dependencies by Songze Shi, Fan Li, Wei Li

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Wearable Sensor-Based Behavioral User Authentication Using a Hybrid Deep Learning Approach with Squeeze-and-Excitation Mechanism by Sakorn Mekruksavanich, Anuchit Jitpattanakul

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Leveraging explainable artificial intelligence with ensemble of deep learning model for dementia prediction to enhance clinical decision support systems by Mohamed Medani, Ghada Moh. Samir Elhessewi, Mohammed Alqahtani, Somia A. Asklany, Sulaiman Alamro, Da’ad Albalawneh, Menwa Alshammeri, Mohammed Assiri

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A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

“…Kernel Fisher Discriminant Analysis was applied for feature optimization, and a deep neural network was utilized for feature classification. …”
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Real Time Intrusion Detection System Based on Web Log File Analysis by Rawand Raouf Abdalla, Alaa Khalil Jumaa, Ahmad Freidoon Fadhil

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YOLO-SUMAS: Improved Printed Circuit Board Defect Detection and Identification Research Based on YOLOv8 by Ying Tang, Runhao Liu, Sheng Wang

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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

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Leaky ReLU-ResNet for Plant Leaf Disease Detection: A Deep Learning Approach by Smitha Padshetty, Ambika

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Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek by Iván García-Magariño, Javier Bravo-Agapito, Raquel Lacuesta

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Improved integral neural distinguisher model for lightweight cipher PRESENT by Wanqing Wu, Mingyu Guo

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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…The challenge of understanding and recognizing group activities through human behavior and interactions is a prominent issue in the realm of computer vision research. This area boasts a wide range of applications, including security surveillance, healthcare monitoring, and human-computer interaction systems. …”
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Combining Supervised and Reinforcement Learning to Build a Generic Defensive Cyber Agent by Muhammad Omer Farooq, Thomas Kunz

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A Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks by Jiping Dong, Mengmeng Hao, Fangyu Ding, Shuai Chen, Jiajie Wu, Jun Zhuo, Dong Jiang

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Trajectory-Driven Deep Learning for UAV Location Integrity Checks by Mincheol Shin, Sang-Yoon Chang, Jonghyun Kim, Kyungmin Park, Jinoh Kim

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A novel approach for efficient resource allocation in 6G V2V networks using neighbor-aware greedy algorithm and sweep line model by Spandana Mande, Nandhakumar Ramachandran

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HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers by Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Khairuddin Omar, Mazlyfarina Mohamad, Ayoade Akeem Owoade, Morufat Adebola Kareem

“…Although, fully homomorphic encryption (FHE)-based methods have been proposed to maintain data confidentiality and privacy, however, existing FHE deep convolutional neural network (CNN) models still face some issues such as low accuracy, high encryption/decryption latency, energy inefficiency, long feature extraction times, and significant cipher-image expansion. …”
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Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…This strategy integrates lightweight edge models and region-aware clippings and compression techniques to reduce data transmission while retaining key agronomic features. Furthermore, the strategy's multi-dimensional resource-aware scheduling and optimized network multiplexing significantly enhance the efficiency of data acquisition and transmission. …”
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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

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