ATBShellFinder: A Bytecode-Level Webshell Detector Based on Adversarial Training by Yuqin Xie, Yuan Zhang, Daofeng Li, Guoren Xiong

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AUTOMATED ANALYSIS OF BREAKERS by E. M. Farhadzade, A. Z. Muradaliev, T. K. Rafieva, S. A. Abdullaeva

“…The main features of AISV are:· to provide the security and data base accuracy;· to carry out systematic control of breakers conformity with operating conditions;· to make the estimation of individual  reliability’s value and characteristics of its changing for given combination of characteristics variety;· to provide personnel, who is responsible for technical maintenance of breakers, not only with information but also with methodological support, including recommendations for the given problem solving  and advanced methods for its realization.…”
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Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis by Hayin Tamut, Robin Ghosh, Kamal Gosh, Md Abdus Salam Siddique

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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…To address these challenges, a stacking-based Tiny Machine Learning (TinyML) models has been proposed for attack detection in IoT networks. This ensures detection efficiently and without additional computational overhead. …”
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A SOVEREIGN STATE IN THE XXI CENTURY: NEW CHALLENGES AND THREATS by F. I. Valyarovsky

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A Human Tracking System for the Rocker-Bogie Mobile Robot Utilizing the YOLOv8 Network by Huy Anh Bui, Thi Thoa Mac, Xuan Thuan Nguyen

“…In this paper, a prototype of a Rocker-Bogie mobile robot featuring a human tracking system is proposed. To be more detailed, the modified YOLOv8 network is designed to detect humans and corresponds to the operation of the robot in real time. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

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Multimodal scene recognition using semantic segmentation and deep learning integration by Aysha Naseer, Mohammed Alnusayri, Haifa F. Alhasson, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Jeongmin Park

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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

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A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…Due to the development of image processing tools and visualization techniques integrating deep learning and artificial intelligence (AI) algorithms (in particular generative adversarial networks–GAN), this can pose serious threats to privacy and security. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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Priority-Aware SDN Orchestration for Surgical IoMT: A Joint Optimization of Hit Ratio and Latency With Dynamic Resource Reallocation by Yalda Safaei, Pouria Arefijamal, Mahdi Siamaki, Bardia Safaei

“…A key distinguishing feature is its dynamic resource reallocation mechanism, which employs the preemption of lower-priority, non-medical traffic to proactively secure network resources and guarantee QoS for vital surgical flows, even during periods of high network load. …”
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Triplet-Style Dynamic Graph Network With Transformer Encoder for Scam Detection in Cryptocurrency Transactions by Min-Woo Nam, Hyeon-Ju Lee, Seok-Jun Buu

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Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

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Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning by Liu Tao, Zhao Xiyang

“…With the widespread adoption of intelligent connected vehicles (ICV) and the rapid development of the internet of vehicles (IoV), the security of in-vehicle network (IVN) has become increasingly critical. …”
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

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