Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm by Qiang Zhao, Sha Liu, Shihao Zhang, Baijuan Wang

“…The algorithm optimizes the loss function by introducing an auxiliary bounding box, and accelerates model convergence. …”
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A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization by Rashmiranjan Nayak, Sambit Kumar Mishra, Asish Kumar Dalai, Umesh Chandra Pati, Santos Kumar Das

“…Hence, the intelligent video surveillance system must have video anomaly detection and localization as key functionalities. …”
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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…Finally, to improve the detection capability for small objects such as conveyor rollers, we introduce the Scaled Intersection over Union (SIoU) loss function, enabling the algorithm to sensitively detect rollers and provide a precise localization for deviation detection. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…In response to the current issues of low recognition accuracy and low image contrast in abnormal detection of power transmission lines. This paper develops a transmission line anomaly detection and real-time monitoring system combining edge computing and improved Efficient Det based on the characteristics of foreign object images. …”
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Improved YOLOv8-Based Method for the Carapace Keypoint Detection and Size Measurement of Chinese Mitten Crabs by Ke Chen, Zhuquan Chen, Changbo Wang, Zhifan Zhou, Maohua Xiao, Hong Zhu, Dongfang Li, Weimin Liu

“…Furthermore, we refined the loss function to model spatial correlations between keypoint locations accurately and thus improve detection accuracy for dorsal carapace dimension key points in Chinese mitten crabs. …”
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HMS-Net: A Hierarchical Multilabel Fine-Grained Ship Detection Network in Remote Sensing Images by Yunchao Yang, Zhengning Zhang, Pengming Feng, Yiming Yan, Guangjun He, Shaobo Liu, Pengyong Zhang, Haorao Gao

“…Moreover, our method has been successfully applied to various two-stage oriented object detection frameworks, consistently achieving performance improvements, thereby highlighting its plug-and-play versatility.…”
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A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection by Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo, Zheng Tang, Delai Qiu, Chunping Chu

“…Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. …”
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LCFANet: A Novel Lightweight Cross-Level Feature Aggregation Network for Small Agricultural Pest Detection by Shijian Huang, Yunong Tian, Yong Tan, Zize Liang

“…This significantly improves detection performance for objects with large scale variations. …”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…Traditional algorithms often face challenges in achieving high detection accuracy and efficiency when addressing the complex task of detecting densely distributed small objects. …”
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Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…Different from previous work on medical detection, this study tailors YOLO-LSM for UAV-based small object detection by introducing targeted improvements in feature extraction, detection heads, and loss functions, achieving better adaptation to aerial scenarios.…”
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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm by Osman Kantunsung Ramadan, R. Srinivasa Kumar, A. Narender Reddy

“…First, followed by data acquisition of traffic videos, is the methodology implemented through five consecutive procedural steps, including algorithm development, system testing, and data exportation before manual vehicle count validation. YOLO performs object detection more effectively due to preprocessing functions, including negative image filtering and image rotation augmentation with enhanced classifier reliability. …”
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An Advanced Generative AI-Based Anomaly Detection in IEC61850-Based Communication Messages in Smart Grids by Aydin Zaboli, Yong-Hwa Kim, Junho Hong

“…This paper proposes a task-oriented dialogue (ToD) system for anomaly detection (AD) in multicast message datasets, such as generic object-oriented substation events (GOOSE) and sampled values (SV) in digital substations using generative AI (GenAI). …”
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Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs. by Andrew McDonald, Anurag Agarwal, Ben Williams, Nai-Chieh Liu, Jane Ladlow

“…In recent years, a functional grading scheme has been introduced to semi-objectively grade BOAS based on the presence of stertor and other abnormal signs. …”
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Enhancing Frequency Event Detection in Power Systems Using Two Optimization Methods with Variable Weighted Metrics by Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq, Robert B. Bass

“…Unlike conventional approaches that apply equally weighted metrics within the objective function, this work implements variable weighted metrics that prioritize specificity, thereby strengthening detection accuracy by minimizing false-positive events. …”
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Detection of Rotor Forced Response Vibrations Using Stationary Pressure Transducers in a Multistage Axial Compressor by William L. Murray, Nicole L. Key

“…The objective of this research is to develop the data processing techniques needed to detect rotor blade vibration in a forced response condition from stationary fast-response pressure transducers to allow for detection of rotor vibration from transient data and lead to techniques for vibration monitoring in gas turbines. …”
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Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

“…These components work together to enhance the model’s performance in detecting complex maritime targets by improving its ability to capture multi-scale features, optimize the localization process, and adapt to the large aspect ratios typical of maritime objects. …”
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Detection of single nucleotide polymorphisms associated with litter size in goats using genotyping-by-sequencing and association analysis by Satoshi Kubota, Thara Wongdee, Pramote Paengkoum

“…Objective Improving fertility is a key goal in goat production. …”
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Abstract 260: TCD Bubble test as a Screening tool for detection of Patent Foramen Ovale in Stroke by Danish Ahammed PK, Paul Alapatt, Aiswarya Raj, Ashraf VV, Shafeed Mattummal

“…Introduction Introduction & Objectives: Transcranial Doppler (TCD) ultrasound provides rapid, noninvasive, real‐time measures of cerebrovascular function. …”
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