A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

“…To meet the demands of real-time and accurate defect detection, this paper introduces an optimization algorithm based on the GLV-YOLO model tailored for photodetector defect detection in manufacturing settings. …”
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Self-supervised change detection of heterogeneous images based on difference algorithms by Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng

“…The presence of heterogeneous image disparities often leads to inferior quality in the generated difference images during change detection. This paper proposes a self-supervised change detection of heterogeneous images based on a difference algorithm. …”
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DS-YOLOv7: Dense Small Object Detection Algorithm for UAV by Tao Sun, Haonan Chen, Haiying Liu, Lixia Deng, Lida Liu, Shuang Li

“…In this paper, we propose an improved YOLOv7 UAV dense small object detection algorithm (DS-YOLOv7) to improve the UAV detection performance of dense small objects. …”
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Comparison classification algorithms and the YOLO method for video analysis and object detection by Martin Magdin, Zoltán Balogh

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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

Subjects: “…Oral cancer detection…”
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YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images by Amit Hasan Sadhin, Siti Zaiton Mohd Hashim, Hussein Samma, Nurulaqilla Khamis

“…This research employs drone-captured imagery and advanced object detection algorithms to expedite defect recognition, with a specific focus on determining the optimal algorithm for prompt and precise detection. …”
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Research on Infrared Small Target Detection Algorithm Based on Foreground Moving Target and Deep Learning for Space Detection by Dan Shan, Xiaofeng Wang, Duk Kyung Kim, Ziyuan Yang, Shaohua Lang, Dadi Cai, Weidong Wang, Xiang Gao

“…Addressing the challenging problem of detecting small targets in space, an infrared small target detection algorithm that incorporates foreground moving targets and deep learning is introduced. …”
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A Novel Hybrid Method Using Grey Wolf Algorithm and Genetic Algorithm for IoT Botnet DDoS Attacks Detection by Mahdieh Maazalahi, Soodeh Hosseini

“…In this paper, a new IDS is proposed to detect IoT-Botnet DDoS attacks. This IDS is a new three-phase system, the first phase is related to preprocessing on the dataset and the second phase includes a new hybrid method for feature selection using filter and wrapper methods based on the Grey Wolf (GW) algorithm and genetics called GW-GA. …”
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Positive Anchor Area Merge Algorithm: A Knowledge Distillation Algorithm for Fruit Detection Tasks Based on Yolov8 by Xiangqun Shi, Xian Zhang, Yifan Su, Xun Zhang

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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

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Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

“…In order to analyze video stream and recognize known objects in it, algorithms of the Computer Vision are used. The authors give a short description and the main characteristics only of two of them: genetic algorithms and feature detection & description. …”
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Efficacy of swarm-based neural networks in automated depression detection by Alwan Atta, Dina ElSayad, Doaa Ezzat, Safaa Amin, Mahmoud ElGamal

“…The experiments were done with the DAIC-WOZ corpus, which is a benchmark dataset for depression detection. In the first experiment, the dragonfly algorithm was used and gave a macro F1 score 0.76, recall of 0.80, and precision of 0.74. …”
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FY-4A/AGRI Cloud Detection Method Based on Naive Bayesian Algorithm by Guo Xuexing, Qu Jianhua, Ye Lingmeng, Han Min, Shi Mojie

“…A cloud detection method based on naive Bayesian algorithm is studied and applied to the advanced geostationary orbital radioimager (AGRI) on Fengyun-4A satellite. …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without adequately considering the adverse effect on tracking attributed to the time consuming nature of offline calculation in actual applications. …”
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MOADA-SVR:a multivariate online anomaly detection algorithm based on SVR by QIAN Ye-kui1, CHEN Ming1

“…Network anomaly detection is critical to guarantee stabilized and effective network operation.Although PCA-based network-wide anomaly detection algorithm has good detection performance,it cannot satisfy demands of online detection.In order to solve the problem,after traffic matrix model was introduced,a normality model of traffic was constructed using SVR and the sparsification of support vector solutions.Based on these,a multivariate online anomaly detection algorithm based on SVR named MOADA-SVR was proposed.Theoretic analysis showed that MOADA-SVR had lower storage and less computing overhead compared with PCA.Analysis for traffic matrix datasets Internet showed that MOADA-SVR had also good detection performance,approximating PCA.…”
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Harmonic Current Detecting Method Based on Improved SVSLMS by CHEN Ruisong, HE Zhengping, LI Shengqing, ZENG Huanyue

Subjects: “…improved SVSLMS algorithm…”
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RETRACTED: Computerized Detection of Calcium Oxalate Crystal Progression by Hanan A. Hosni Mahmoud

“…The experimental results, using electron micrographs of 6900 clusters, demonstrated a success rate of 97.5% when detecting cases of calcium oxalate crystals. The simulation results of the new temporal algorithm show an enhancement of the speed by 70% compared to well-known temporal algorithms, and increased accuracy when computing PRSN against other algorithms.…”
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Replica Node Detection Using Enhanced Single Hop Detection with Clonal Selection Algorithm in Mobile Wireless Sensor Networks by L. S. Sindhuja, G. Padmavathi

“…This paper proposes to solve these issues by enhancing the Single Hop Detection (SHD) method using the Clonal Selection algorithm to detect the clones by selecting the appropriate witness nodes. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

“…With the expansion of large-scale datasets and the advancement of deep learning models, pavement crack detection algorithms are expected to further enhance their accuracy and efficiency, offering significant support for road infrastructure management.…”
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