Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…The implementation of infrared cameras and drones has demonstrated encouraging outcomes, regardless of whether the detection was performed by human observers or automated algorithms. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…This paper proposes a small object detection algorithm based on partial convolution and attention fusion detection head, aiming to address the limitations of current mainstream object detection algorithms in detecting small objects in aerial images. …”
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Algorithm of early detection of skin melanoma in district polyclinics by O. A. Romanova, N. G. Artemieva, V. N. Marycheva, L. R. Kurashvili

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Detection of phishing portals through machine learning algorithms by E. A. Trushnikov

“…Objective Analysis and practical implementation of the phishing portal detection functionality through machine learning algorithms. …”
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Local Community Detection Algorithm Based on Minimal Cluster by Yong Zhou, Guibin Sun, Yan Xing, Ranran Zhou, Zhixiao Wang

“…In order to discover the structure of local community more effectively, this paper puts forward a new local community detection algorithm based on minimal cluster. Most of the local community detection algorithms begin from one node. …”
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Automatic detection of sleep spindles by neural networks algorithms by Jan Rychlík, Roman Mouček

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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…Currently, underground coal mine target detection algorithms based on deep learning show poor performance in detecting complex small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced multi-class target scale distribution, often resulting in missed detection and false detection. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…In Computer-Aided Detection (CAD) brain disease classification is a vital issue. …”
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Detection of Welding Defects Tracked by YOLOv4 Algorithm by Yunxia Chen, Yan Wu

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Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…The effectiveness of the algorithm was ultimately verified. This hierarchical detection method effectively avoids the extraction of image data from a large number of domain names to be detected, significantly improving detection efficiency while ensuring the accuracy of detection.…”
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Performance analysis of topic detection algorithms in distributed environment by Lu DENG, Yan JIA, Binxing FANG, Bin ZHOU, Tao ZHANG, Xin LIU

“…Social network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The performance analysis project was proposed based on the characteristics of social network.According to the project,the performances of some typical topic detection algorithms were tested and compared in large-scale data of Sina Weibo.What’s more,the advantages and disadvantages of these algorithms were pointed out so as to provide references for later applications…”
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Causes of Resistant Hypertension Detected by a Standardized Algorithm by Livia Beatriz Santos Limonta, Letícia dos Santos Valandro, Flávio Gobis Shiraishi, Pasqual Barretti, Roberto Jorge da Silva Franco, Luis Cuadrado Martin

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ADOS-CFAR Algorithm for Multibeam Seafloor Terrain Detection by Weidong Du, Tian Zhou, Haisen Li, Baowei Chen, Bo Wei

“…By adopting this algorithm into the detection method of multibeam seafloor terrain and carrying out the simulation study on the computational load of the ADOS-CFAR, it is shown that this method has a lower computational load on the premise of ensuring the detection performance. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. To solve these problems, the YOLOv9s-SD underwater target detection algorithm is proposed to improve the detection performance in underwater environments. …”
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Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

“…Finally, a weighted local outlier factor detection algorithm computes the degree of anomaly for each sample in the candidate set. …”
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Hadoop bottleneck detection algorithm based on information gain by Zaole TAN, Zhifeng HAO, Ruichu CAI, Xiaojun XIAO, Yu LU

“…Hadoop has become a major platform for big data storage and large data mining nowadays.Although Hadoop platform achieves high performance parallel computing through a distributed cluster of machines,the bottlenecks will inevitably appear on a machine when cluster load increases,because the cluster is composed of inexpensive host.Aiming at this problem,a bottleneck detection algorithms based on information gain was proposed.The algorithm detected cluster's bottlenecks resource by computing the information gain of each resource.The experiments show that the bottleneck detection algorithm is feasible.…”
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A Cascaded Defect Detection Algorithm for Track Components by LIN Jun, KANG Gaoqiang, TU Zhenwei, XU Yanghan, YUE Wei, XIONG Qunfang

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Structural Damage Detection Based on Sparrow Search Algorithm by Ziyan Ma, Xi Peng, Fengjiang Qin, Qiuwei Yang, Bin Xu

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Research on the Object Detection Algorithm Based on Fisheye Image by GAO Qun, ZHU Jun, WANG Qianqian, CAO Jie, XU Chao

“…It uses the feature pyramid structure to detect multi-scale objects, and combines the rotation and distortion characteristics of the fisheye to optimize the algorithm and directly detects the objects from the original fisheye image. …”
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