Coarse-Fine Tracker: A Robust MOT Framework for Satellite Videos via Tracking Any Point by Hanru Shi, Xiaoxuan Liu, Xiyu Qi, Enze Zhu, Jie Jia, Lei Wang

“…Finally, the Consensus Fusion Strategy eliminates mismatched detections in coarse tracking results by checking their geometric consistency against fine tracking results and recovers missed objects via linear interpolation or linear fitting. …”
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Kolmogorov–Arnold–Enhanced Nonlinear Expansions for Fine-Grained Feature Amplification in Robust Near-Shore SAR Vessel Discrimination by Hankang Wang, Gaopeng Huang, Zhao Huang, Xingru Huang, Zhaoyang Xu, Zhiwen Zheng, Shanwei Liu, Shiqing Wei, Jin Liu, Xiaoshuai Zhang

“…Ship detection based on synthetic aperture radar (SAR) is crucial for maritime surveillance, yet existing methods struggle with two critical challenges: 1) missed detections in nearshore scenarios due to highly similar radar reflections between ships and shore objects (e.g., buildings, docks); and 2) feature vanishing of small ships caused by SAR resolution limits and downsampling operations. …”
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Informatics Consideration on the Hierarchical System of Rare Diseases Clinical Care in China by GONG Mengchun, GUO Yanying, ZHENG Xihong, FAN Junkang, LIU Peng, NIU Ling, YANG Yining, ZOU Xiaoguang

“…The basic diagnosis and treatment capabilities are weak, the diagnosis period for patients is long, and the rates of missed diagnosis and misdiagnosis are relatively high. …”
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Evaluation of AI-Powered Routine Screening of Clinically Acquired cMRIs for Incidental Intracranial Aneurysms by Christina Carina Schmidt, Robert Stahl, Franziska Mueller, Thomas David Fischer, Robert Forbrig, Christian Brem, Hakan Isik, Klaus Seelos, Niklas Thon, Sophia Stoecklein, Thomas Liebig, Johannes Rueckel

“…Initial cMRI reports missed 50 out of 59 suspicious findings, including 13 certain intradural aneurysms. …”
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Speeding up drug susceptibility testing in Mycobacterium tuberculosis using RNA biomarkersResearch in context by Amandine Sury, Margo Maex, Alain Baulard, Roby P. Bhattacharyya, Stéphanie Depickère, Deborah T. Hung, Paul Cos, Fadel Sayes, Wafa Frigui, Roland Brosch, Vanessa Mathys, Elizabeth M. Streicher, Frederik De Keersmaeker, Leen Rigouts, Pieter-Jan Ceyssens, An Van den Bossche

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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…By optimizing the full detection–tracking–yield pipeline, this solution overcomes challenges in small object missed detections, ID switches under occlusion, and real-time processing in complex scenarios. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…To overcome the drawbacks of manual defect detection and the challenges of traditional visual inspection algorithms, such as high missed detection rates, slow detection speeds, and difficulties in deployment on embedded devices for detecting subtle wood surface defects, this study aims to improve the utilization efficiency of wood in enterprises. …”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…Furthermore, to mitigate the false positive and false negative, a systematic approach, termed Temporal Epistemic Decision Aggregator (TEDA) is introduced, which elegantly navigates the time-accuracy tradeoff by seamlessly integrating temporal decisions, thereby enhancing decision reliability. …”
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Recent advances in diagnosis and treatment of primary membranous nephropathy by HU Xiaofan, XU Jing

“…Serum PLA2R antibody detection has high specificity but limited sensitivity, potentially lea-ding to missed diagnosis of non-PLA2R-related cases. The combined disease risk score integrating susceptibility loci identified through genome-wide association studies (GWAS) (such as PLA2R1 and HLA-DQA1) with serum antibodies has significantly improved the accuracy of non-invasive diagnosis (area under the receiver operating characteristic curve reaching 0.96). …”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…Next, the network intrusion detection process is modeled as a Markov decision process and integrated with the Soft Actor-Critic (SAC) reinforcement learning algorithm, with a view to constructing agents; In the context of adversarial training, two agents, designated as the attacker and the defender, are defined to perform asynchronous adversarial training. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…We have selected four C3 modules, each with a substantial number of output channels, to integrate with the Ghost module. This method results in fewer parameters, lower GFLOPs, and higher FPS. …”
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Privacy-Preserving Interpretability: An Explainable Federated Learning Model for Predictive Maintenance in Sustainable Manufacturing and Industry 4.0 by Hamad Mohamed Hamdan Alzari Alshkeili, Saif Jasim Almheiri, Muhammad Adnan Khan

“…The simulation results confirm its high reliability, achieving 98.15% accuracy with a minimal 1.85% miss rate, demonstrating its effectiveness as a scalable, secure, and interpretable solution for PdM in Industry 4.0.…”
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THE PHENOMENON OF VIRTUAL IDENTITY: THE CONTEMPORARY CONDITION OF THE PROBLEM by E. L. Soldatova, D. N. Pogorelov

“…Virtual identity can arise as a result of dissatisfaction with real identity, as a consequence of the identification crisis, in which the individual loses integrity. At the same time, it is shown that the cyberspace gives ample opportunities for self-expression and maximum personal fulfillment, realization of qualities, playing of roles and experience of emotions which turn out to be frustrated under any circumstances in real life.Problem areas of excessive immersion into virtual space are identified. …”
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Automated detection of diabetic retinopathy lesions in ultra-widefield fundus images using an attention-augmented YOLOv8 framework by Lei-Si Hu, Jie Wang, Heng-Ming Zhang, Hai-Yu Huang

“…ObjectiveTo enhance the automatic detection precision of diabetic retinopathy (DR) lesions, this study introduces an improved YOLOv8 model specifically designed for the precise identification of DR lesions.MethodThis study integrated two attention mechanisms, convolutional exponential moving average (convEMA) and convolutional simple attention module (convSimAM), into the backbone of the YOLOv8 model. …”
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area by Huimei SUN, Lu LIU, Degang WANG, Taiyong WANG

“…In response to challenges pertaining to overlapping targets and inconspicuous features due to illumination variations, a coordinate attention (CA) mechanism was integrated into the YOLOv5 network model to amplify its feature extraction capacity. …”
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Recruitment rates, retention rates, and follow-up completion in a Brief Intervention and Contact trial for suicidal behavior: a feasibility study by Divya Soni, Balpreet Panesar, Alexander Dufort, Lucy Guan, Jennifer Lee, Dana Waldern, Stephanie Hathaway, Nitika Sanger, Sid Stacey, Luciano Minuzzi, Lehana Thabane, Zainab Samaan

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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…This mechanism enhances global representation capabilities, enabling the model to better understand object–background relationships and effectively integrate multi-scale spatial information, thereby improving detection accuracy and robustness. …”
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Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma by Jia-Wei Feng, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…This non-invasive, interpretable tool enables individualized risk assessment, potentially reducing missed metastases requiring secondary surgery, thereby supporting precise treatment decisions in PTC management.…”
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RLK-YOLOv8: multi-stage detection of strawberry fruits throughout the full growth cycle in greenhouses based on large kernel convolutions and improved YOLOv8 by Lei He, Lei He, Lei He, Dasheng Wu, Dasheng Wu, Dasheng Wu, Xinyu Zheng, Xinyu Zheng, Xinyu Zheng, Fengya Xu, Fengya Xu, Fengya Xu, Shangqin Lin, Shangqin Lin, Shangqin Lin, Siyang Wang, Siyang Wang, Siyang Wang, Fuchuan Ni, Fang Zheng

“…Addressing the high rates of missed and false detections in existing object detection algorithms under complex backgrounds and dense multi-target scenarios, this paper proposes an improved multi-stage detection algorithm RLK-YOLOv8 for greenhouse strawberries. …”
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Geospatial analysis of immunisation outcomes in Nigeria using a Bayesian geostatistical approach and an interactive dashboard by Chijioke Kaduru, Idim Godwin, Olamide Akeboi, Karinate Cyril-Egware, Sharon Uzoma, Maduekwe Vivian, Ebuka Nwafia, Oshodi Esther, Tijjani Habib, Shehu Abdullahi, Rehanat Amusu, Jedydah Atieno, Koko Aadum, Ojonimi Alfred, Geraldine Mbagwu, Ganiyat Eshikhena, Ugomma Nyananyo, Josephina Obande, Ezra Gayawan

“…Using the Stochastic Partial Differential Equation (SPDE) approach in R Interface to Integrated Nested Laplace Approximations (R-INLA), a geostatistical model was developed to predict immunisation outcomes based on structural determinants identified from the literature. …”
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