Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends by Li Zhen, Nazhatul Hafizah Kamarudin, Ven Jyn Kok, Faizan Qamar

“…To address these issues, we propose an integrated conceptual model, AFEMAD, which incorporates multimodal ML data fusion, online adaptive detection, enhanced interpretability, Federated Learning (FL), and collaborative privacy-preserving mechanisms, thereby providing an innovative technical framework for anomaly detection in NSSA. …”
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DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection by Shijin Song, Sen Du, Yuefeng Song, Yongxin Zhu

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A systematic review of sensors to combat crime and routes to further sensor development by Alice E. Cozens, Alice E. Cozens, Alice E. Cozens, Shane D. Johnson, Tung-Chun Lee, Tung-Chun Lee

“…Future efforts should prioritise refining dual detection methods, reducing matrix interference, low-cost/eco-friendly materials and fostering collaboration between academia and law enforcement for effective implementation in these areas.…”
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A Multiscale Gradient Fusion Method for Color Image Edge Detection Using CBM3D Filtering by Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren

“…In this paper, we present a novel color edge detection method that integrates collaborative filtering with multiscale gradient fusion. …”
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Universal Amplification-Free RNA Detection by Integrating CRISPR-Cas10 with Aptameric Graphene Field-Effect Transistor by Mingyuan Sun, Zhenxiao Yu, Shuai Wang, Jiaoyan Qiu, Yuzhen Huang, Xiaoshuang Chen, Yunhong Zhang, Chao Wang, Xue Zhang, Yanbo Liang, Hong Liu, Qunxin She, Yu Zhang, Lin Han

“…Highlights A collaborative biosensing system is developed for amplification-free RNA/miRNA detection by integrating Type III CRISPR-Cas10 system with a graphene field-effect transistor (GFET). …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

“…Abstract Background Detecting liver tumors via computed tomography (CT) scans is a critical but labor-intensive task. …”
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A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review by Yifei Li, Pei Liu, Yan Fang, Xiangyuan Wu, Yewei Xie, Zhongzhi Xu, Hao Ren, Fengshi Jing

“…This review employs a network-based visualization approach to analyze research trends, key technologies, and collaborative networks. Using studies from SCI- and SSCI-indexed journals from 2015 to 2024, we analyzed 582 articles and 65 reviews with CiteSpace, revealing a significant rise in research on wearable sensors for fall detection. …”
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Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images by Xibing Zuo, Fei Jin, Lei Ding, Shuxiang Wang, Yuzhun Lin, Bing Liu, Yao Ding

“…Semantic change detection (SCD) represents a challenging task in the interpretation of remote sensing images (RSIs), with the goal of identifying change regions and extracting semantic information from bitemporal RSIs simultaneously. …”
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A cooperative intrusion detection system for internet of things using fuzzy logic and ensemble of convolutional neural networks by Xiongwei Qiu, Lianzhi Shi, Pengtong Fan

“…In this regard, our research presents a collaborative solution for intrusion detection in the IoT that relies on a combination of fuzzy logic techniques and Convolutional Neural Network (CNN) ensemble. …”
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A novel rhodamine 6G-based chemosensor for Fe3+ detection in water samples and cellular imaging by Bao-Long Hou, Wenyu Li, Ruirui Feng, Xiumei Yang, Jianli Liu, Cuiling Wang

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I-YOLOv11n: A Lightweight and Efficient Small Target Detection Framework for UAV Aerial Images by Yukai Ma, Caiping Xi, Ting Ma, Han Sun, Huiyang Lu, Xiang Xu, Chen Xu

“…UAV small target detection in urban security, disaster monitoring, agricultural inspection, and other fields faces the challenge of increasing accuracy and real-time requirements. …”
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Leveraging Complex-Valued Federated Learning for Accurate and Privacy-Respectful Threat Detection Based on Millimeter-Wave Imaging by Hadi Mahdipour, Jaime Laviada, Fernando Las-Heras Andres, Mehdi Sookhak

“…Extending a cutting-edge real-valued (RV) CO detection framework to its CV-FL version and following by a DLF module, this paper utilizes the mentioned data to enhance detection accuracy and enabling collaborative AI training while preserving data privacy. …”
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A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Jianhua Wang, Bang Ji, Feng Lin, Shilei Lu, Yubin Lan, Lianglun Cheng

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Predictions for the Detectability of Milky Way Satellite Galaxies and Outer-Halo Star Clusters with the Vera C. Rubin Observatory by Kabelo Tsiane, Sidney Mau, Alex Drlica-Wagner, Jeffrey L. Carlin, Peter S. Ferguson, Keith Bechtol, Ethan O. Nadler, Annika H. G. Peter, Yao-Yuan Mao, Adam J. Thornton, LSST Dark Energy Science Collaboration

“…We assess the probability that each simulated system would be detected by LSST using a conventional isochrone matched-filter technique. …”
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Synchronous Primary Malignancies: Incidental Detection of Ascending Colon Adenocarcinoma During Staging of Invasive Ductal Carcinoma of the Breast by Salif Balde, Ulrich Igor Mbessoh Kengne, Jaafar Ibn Abou Talib Thiam, Joël Gabin Konlack Mekontso, Sokhna Diop Niang, Amacoumba Fall, Mamadou Ndiaye, Gorgui Sarr, Etienne Tossou Zoure, Mamadou Sow, Sidy Ka

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Non-Invasive Fatigue Detection and Human–Machine Interaction Using LSTM and Multimodal AI: A Case Study by Muon Ha, Yulia Shichkina, Xuan-Hien Nguyen

“…This approach provides an effective solution for early fatigue detection and adaptive collaboration between humans and machines in real-time settings.…”
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A Decentralized Framework for the Detection and Prevention of Distributed Denial of Service Attacks Using Federated Learning and Blockchain Technology by Mao-Hsiu Hsu, Chia-Chun Liu

“…In this study, we created a decentralized security framework that integrates federated learning (FL) with blockchain technology for DDoS attack detection and prevention. Federated learning enables devices to collaboratively learn without sharing raw data and ensures data privacy, while blockchain provides immutable event logging and distributed monitoring to enhance the overall security of the system. …”
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Vehicle Recognition and Driving Information Detection with UAV Video Based on Improved YOLOv5-DeepSORT Algorithm by Binshuang Zheng, Jing Zhou, Zhengqiang Hong, Junyao Tang, Xiaoming Huang

“…To process the collected UAV video, the Google Collaboration platform is used to modify and compile the “You Only Look Once” version 5 (YOLOv5) algorithm with Python 3.7.12, and YOLOv5 is retrained with the captured video. …”
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SecFedMDM-1: A Federated Learning-Based Malware Detection Model for Interconnected Cloud Infrastructures by Daniella Mughole Kalimumbalo, Joke A. Badejo, Kennedy O. Okokpujie, Emmanuel Adetiba, Molo Mbasa Joaquim, Nzanzu Vingi Patrick, Gabriel Oyeyemi, Claude Takenga

“…This study established a federated learning-based malware detection model for interconnected cloud infrastructures. …”
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Improved Transfer Learning for Detecting Upper-Limb Movement Intention Using Mechanical Sensors in an Exoskeletal Rehabilitation System by Ahnryul Choi, Tae Hyong Kim, Seungheon Chae, Joung Hwan Mun

“…The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. …”
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