YOLO-AMM: A Real-Time Classroom Behavior Detection Algorithm Based on Multi-Dimensional Feature Optimization by Yi Cao, Qian Cao, Chengshan Qian, Deji Chen

“…However, the existing models are still deficient in detail feature capture capability, multi-layer feature correlation, and multi-scale target adaptability, making it challenging to realize high-precision real-time detection in complex scenes. This paper proposes an improved classroom behavior detection algorithm, YOLO-AMM, to solve these problems. …”
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High‐speed algorithm for fault detection and location in DC microgrids based on a novel time–frequency analysis by Amir Hossein Poursaeed, Farhad Namdari

“…This study proposes a novel protection algorithm using traveling waves (TWs) for fault detection and localization. …”
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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…However, ZFE-MMSE effectively detects the signal at a low SNR, outperforming contemporary algorithms at complexity similar to MMSE and ZFE, and can enhance the latency performance for smart health care applications.…”
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Background dictionary construction-based sparse representation hyperspectral target detection by Tao Yang, Lin Feipeng, Yang Wen, Weng Shan

“…A sparse representation hyperspectral target detection algorithm based on background dictionary is proposed. …”
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A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. by Andrew McDonald, Mark J F Gales, Anurag Agarwal

“…The detection of heart disease using a stethoscope requires significant skill and time, making it expensive and impractical for widespread screening in low-resource environments. …”
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Advancements in Circulating Tumor Cell Detection for Early Cancer Diagnosis: An Integration of Machine Learning Algorithms with Microfluidic Technologies by Ling An, Yi Liu, Yaling Liu

“…Circulating tumor cells (CTCs) are vital indicators of metastasis and provide a non-invasive method for early cancer diagnosis, prognosis, and therapeutic monitoring. However, their low prevalence and heterogeneity in the bloodstream pose significant challenges for detection. …”
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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

“…The loss function also stabilized at a very low level after 70 training epochs. Then, the trained YOLOv5 is used to replace the Faster R-CNN detector in the DeepSORT algorithm to improve the detection accuracy and speed and extract the vehicle driving information from the perspective of UAV. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…In response to the issues of low detection accuracy (DA), slow speed, and missed detections caused by the complex texture background and diverse shapes of surface defects (SD) in steel, this paper designs an improved lightweight YOLOv10 model called EAD-YOLOv10. …”
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YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

“…Traditional magnetic tile defect detection mainly relies on manual inspection and faces challenges like low detection accuracy and high cost. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

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Curvature Scale Space Corner Detection-Based Registration Algorithm for Infrared and Visible Light Images of Power Equipment by HongYan Han, ZhengGuang Wang, Peng Ding, Nan Liu, ZhenYao Li, ZhanQiang Ru, WenQing Zhu, HeLun Song

“…First, a Modal Perception-Based Canny Edge Detection Strategy (MP-Canny) is developed to resolve feature sparsity in low-contrast infrared images and noise interference in visible-light images. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…Machine learning (ML) and deep learning (DL) approaches are employed to haste up cancer recognition, letting researchers to analysis a great amount of patients in a short period of time and at a low cost. This research presents an Optimizing Cancer Detection using whale optimizer with Deep Learning in Colon and Lung Cancer (OCDWO-DLCLC) model on Biomedical Images. …”
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Wi-CL: Low-Cost WiFi-Based Detection System for Nonmotorized Traffic Travel Mode Classification by Runnan Xu, Zilin Huang, Sikai Chen, Jinlong Li, Pan Wu, Yongjie Lin

“…In the data acquisition module, the proposed system detects the Wi-Fi signals of traffic participants in road environments. …”
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Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

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Looseness detection of fasteners on conductor rails of medium and low speed maglev railways based on deep convolutional networks by LI Cheng, CHEN Jianxiong, LIN Jun, KANG Gaoqiang

“…To deal with the looseness of fasteners on the conductor rails of the medium and low speed maglev railways, a detection algorithm based on deep convolutional networks was proposed for loose detection of two kinds of fasteners, i.e. the base mounting bolt and the connecting plate screw. …”
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Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation by Samier Uddin Ahammad Shovo, Md. Golam Rabbani Abir, Md. Mohsin Kabir, M. F. Mridha

“…The deep learning algorithm optimises YOLO's architecture for low‐light detection by adapting the network structure and training strategies while preserving the algorithm's integrity. …”
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A model-based approach to detection of the circulating melanoma cells from the photoacoustic cytometry data by Yurii M. Ishbulatov, Viktoriia V. Skazkina, Anatoly S. Karavaev, Olga A. Inozemtseva, Daniil N. Bratashov, Arkady S. Abdurashitov, Oleg V. Grishin, Alexey N. Hramkov, Vladimir P. Zharov

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Two-stage Community Discovery Algorithm for Multi-point Seed Prepartition by TONG Shuai, CHEN De-yun, YANG Hai-lu

“…The community detection algorithm based on seed expansion has the characteristics of low time complexity，high recognition accuracy，and is not restricted by the shape of the community. …”
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A Synchronous Tuning Control System for Very Low Frequency Communication Based on Real-Time Impedance Detection by Shize Wei, Xu Xie, Yuqing Liu, Hao Zuo

“…In this paper, a synchronous control algorithm based on real-time impedance detection and a synchronous control system structure are proposed. …”
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