A Clustering Algorithm for Large Datasets Based on Detection of Density Variations by Adrián Josué Ramírez-Díaz, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

“…However, while these algorithms can adapt to large datasets by building clusters with arbitrary shapes by identifying low-density regions, they usually struggle to identify density variations. …”
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AEA-YOLO: Adaptive Enhancement Algorithm for Challenging Environment Object Detection by Abdulrahman Kariri, Khaled Elleithy

“…Despite deep learning-based object detection techniques showing promising results, identifying items from low-quality images under unfavorable weather settings remains challenging because of balancing demands and overlooking useful latent information. …”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…Compared with general object detection, small object detection is more challenging due to its low resolution and limited anti-interference noise ability. …”
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Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

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Fast and Accurate Sperm Detection Algorithm for Micro-TESE in NOA Patients by Mahmoud Mohamed, Konosuke Kachi, Kohei Motoya, Masashi Ikeuchi

“…We aim to streamline this process with an efficient computational detection tool. Methods: We present SD-CLIP (Sperm Detection using Classical Image Processing), a lightweight, real-time algorithm that simulates sperm structure detection from unstained DIC images. …”
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Detection algorithm of LSB hidden messages based local image stability by ZHANG Qiu-yu, LIU Hong-guo, YUAN Zhan-ting

“…Aimed at the characteristics of LSB steganogtaphy, an algorithm based on local image stability was proposed.Combined with the idea of pollution data analysis, the secret information was regarded as noise in the process of informa-tion transmission.Then using the noise analysis technique, and selecting appropriate critical point value to achieve the detection purpose of the secret information.The theoretic analysis and experimental results show that detection algorithm advances than traditional algorithm in low embedding rate.…”
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Detection algorithm of LSB hidden messages based local image stability by ZHANG Qiu-yu, LIU Hong-guo, YUAN Zhan-ting

“…Aimed at the characteristics of LSB steganogtaphy, an algorithm based on local image stability was proposed.Combined with the idea of pollution data analysis, the secret information was regarded as noise in the process of informa-tion transmission.Then using the noise analysis technique, and selecting appropriate critical point value to achieve the detection purpose of the secret information.The theoretic analysis and experimental results show that detection algorithm advances than traditional algorithm in low embedding rate.…”
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A Selective Harmonic Current Detection Algorithm Based on Quadrature Theory by LI Yu, LANG Fengjie, MA Zhe, WANG Xutao

“…With the advantages of low consumption and fast response of the computing resource and storage resource, this algorithm is suit for detecting harmonics current of power quality analysis of electric system. …”
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A new cooperation spectrum sensing algorithm based on energy detection by Caimei FU, Youming LI, Guili ZHOU, Mingchen YU, Jingwen TONG, Xupeng WANG

“…To improve the reliability of spectrum sensing in cognitive radio system,a new cooperation spectrum sensing algorithm was proposed.In this algorithm,the property of the low probability between adjacent frames of the states change was used and then the decision was made by combing the energy value of the current sensing frame with that of the neighboring frame.Therefore,the proposed algorithm could decrease the miss detection probability in case of the instantaneous signal energy dropping when primary user used the licensed spectrum.Furthermore,theoretical expressions for detection probability and false alarm probability were derived.Finally,theoretical analysis and simulation results verify that the detection performance of the proposed algorithm is better than that of cooperative spectrum sensing which is based on the classical energy detection.…”
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An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection by ZHANG Han

“…It is difficult to detect harmonic current accurately when APF in low SNR condition. …”
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Video inter-frame tampering detection algorithm fusing multiple features by Hui XIAO, Bin WENG, Tianqiang HUANG, Han PU, Zehui HUANG

“…Traditional passive forensics of video inter-frame tampering often relies on single feature.Each of these features is usually suitable for certain types of videos,while has low detection accuracy for other videos.To combine the advantages of these features,a video inter-frame tampering detection algorithm that could fuse multi-features was proposed.The algorithm firstly classified the input video into one group based on its space information and time information values.Then it calculated the VQA features that represented the video inter-frame continuity.These features were sorted by the SVM-RFE feature recursive elimination algorithm.Finally,the sorted features were filtered and fused by the sequential forward selection algorithm and Adaboost binary classifier.Experimental results show that the proposed algorithm could achieve higher tampering detection accuracy.…”
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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
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Detecting DDoS attack based on compensation non-parameter CUSUM algorithm by YAN Fen1~3, CHEN Yi-qun3, HUANG Hao1, YIN Xin-chun3

“…t,calculated the ratio of the number of unacknowledged segments and the number of all segments.Then,the statistical sequence based on time came into being.After that,an improved non-parameter recursive CUSUM algorithm was used to detect attack effi-ciently on line.In this procedure,the suspicious packets were also recorded.Experiments prove that this algorithm is fast and efficient.It has low false-positive rate and could adapt to more complex network environments.In addition,it is helpful to attack analysis and tracing.…”
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A Fast Overlapping Community Detection Algorithm with Self-Correcting Ability by Laizhong Cui, Lei Qin, Nan Lu

“…In this paper, we propose three test conditions for overlapping nodes and present a fast overlapping community detection algorithm with self-correcting ability, which is decomposed into two processes. …”
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A Tunnel Surface Diseases Detection Algorithm Based on YOLOv4 by LI Jia, QIU Xinhua, JI Yuwen

“…Experimental results show that the detection speed can reach 55fps by using this algorithm and NVIDIA GeForce 2080Ti. …”
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An Anomaly Detection Based on Data Fusion Algorithm in Wireless Sensor Networks by Xingfeng Guo, Dianhong Wang, Fenxiong Chen

“…Finally, relevant experiments on virtual and actual sensor databases show that our algorithm can achieve a high outlier detection rate while the false alarm rate is low. …”
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A Suggested Point Search Algorithm for Circle Detection in Binary Images by Sundus Ebraheem

“…In this paper, a new algorithm is proposed for circle detection, called Point Search Circle Detection (PSCD), which detects points and assumes them as inspection points on the circle circumference by using them to create a virtual circle to match it with the original image. …”
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FDM-RTDETR: A Multi-Scale Small Target Detection Algorithm by Hongya Wang, Yongtao Yu, Zhaoxia Tang

“…To address challenges in uncrewed aerial vehicles (UAV) object detection including complex backgrounds, severe occlusion, dense small objects, and varying lighting conditions, we propose FDM-DETR, a novel detection algorithm specifically designed for small objects in UAV imagery. …”
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An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

“…Aiming to improve upon existing object detection algorithms, which have the problem of low object recognition accuracy in orchard operation scenes, we propose an orchard vehicle object detection algorithm based on Attention-Guided Orchard PointPillars (AGO-PointPillars). …”
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Insulator Defect Detection Algorithm Based on Improved YOLOv11n by Junmei Zhao, Shangxiao Miao, Rui Kang, Longkun Cao, Liping Zhang, Yifeng Ren

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