Fuzzy clustering method based on genetic algorithm in intrusion detection study by HUANG Min-ming LIN Bo-gang

“…Regarding the problem that fuzzy c-means algorithm（FCM） was sensitive to the initial value and converging to the local infinitesimal point easily, applies genetic algorithm to optimization of the FCM algorithm.Firstly, the results of FCM will be sent to the genetic algorithm for optimization, then the new results again used in FCM to obtain the most advantage of the overall situation.The experimental result shows that the algorithm can effectively detect anomaly intrusions behavior of special target and be better than FCM algorithm, and have a strong global optimization and faster convergence speed.…”
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Vehicle detection and recognition algorithm based on function improvement of YOLOv3 by SONG Huajie, ZHOU Lei

“…YOLOv3 algorithm is characterized by high detection accuracy and high speed in the aspect of target detection and recognition. …”
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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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Multi-scale ship detection algorithm in SAR images in complex scenes by He Shun, Wang Yuzhu, Yang Zhiwei

“…Aiming at the problem of false detection and missing detection in multi-scale SAR ship object detection in complex scenes, an improved SAR ship object detection method is proposed in this paper. …”
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A lightweight detection algorithm of PCB surface defects based on YOLO. by Shiwei Yu, Feng Pan, Xiaoqiang Zhang, Linhua Zhou, Liang Zhang, Jikui Wang

“…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …”
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Mine underground object detection algorithm based on TTFNet and anchor-free by Song Zhen, Qing Xuwen, Zhou Meng, Men Yuting

“…To solve the problem of poor object detection effect caused by uneven light and high noise in underground mines, this study proposes a TTFNet (training-time-friendly network)-based object detection algorithm for underground mines. …”
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds by Anatoliy Zhuchenko, Oleksiy Kuchkin, Artem Sazonov, Danylo Zghurskyi

“…Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs). …”
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Robust Crater Detection Algorithm Based on Maximum Entropy Threshold Segmentation by Peng Wu, Rongjun Mu, Yanpeng Deng

“…For future lunar exploration and planetary missions, the digital elevation model (DEM) of the target object may not be well prepared before the mission, so developing a new robust crater detection algorithm (CDA) without prepared high-precision DEM is needed to meet the requirements of a high-reliability and high-precision detection and navigation system. …”
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An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar by Zhefeng Wu, Gang Zhang, Xinchun Wang, Peng Sun, Yanchao Lin

“…However, the signal focusing capability of such a method could be greatly reduced especially for those variable-speed targets. To solve this problem, a novel tracking algorithm combining range envelope alignment and azimuth phase filtering is proposed. …”
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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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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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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…This article considers the problem of efficient sampling for toxicity detection in competitive online video games. …”
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Group Abnormal Behaviour Detection Algorithm Based on Global Optical Flow by Yu Hao, Ying Liu, Jiulun Fan, Zhijie Xu

“…Following, in order to realize the detection of large displacement moving target and solve the problem that the traditional optical flow algorithm is only suitable for the detection of displacement moving target, a video abnormal behaviour detection algorithm based on the double-flow convolutional neural network is proposed. …”
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A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

“…However, when a node exhibits the same similarity with different communities, it becomes ambiguous to determining the optimal community assignment for that node, potentially leading to incorrect predictions and affecting the accuracy of community assignments for other nodes. To address this problem, this paper proposes a novel community detection algorithm based on node propagation and attraction. …”
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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

“… Analysis of user behavior models based on user session data can be conducted using clustering (or community detecting) algorithms that do not require a predefined number of clusters. …”
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Advancements in detecting Deepfakes: AI algorithms and future prospects − a review by Laishram Hemanta Singh, Panem Charanarur, Naveen Kumar Chaudhary

“…The solution to this problem is to use collective techniques that improve detection accuracy by combining multiple AI systems. …”
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Damage Detection of Steel Roof Systems Using Planet Optimization Algorithm by Thanh Sang-To, Van The Huy-Nguyen, Samir Khatir, The Vi-Huynh, Hoang Le-Minh, Thanh Cuong-Le

“…In this work, an inverse method for damage detection studies is developed based on Planet Optimization Algorithm (POA). …”
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Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

“…To address these issues, this paper proposes an improved algorithm for detecting hyponymy–hypernymy relations based on heterogeneous graph neural networks, aiming to detect hyponymy–hypernymy relations in various candidate word sets and then construct a hierarchical system. …”
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Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale by Andras Horvath, Andras Olah, Attila Pinter, Balint Siklosi, Gergely Lukacs, Istvan Z. Reguly, Kalman Tornai, Tamas Zsedrovits, Zoltan Mathe

“…In this paper, we explore anomaly detection in real-world environments, including legacy systems and cloud platforms, by evaluating existing methods and explicitly introducing four novel anomaly detection algorithms: Llama Model-based Log Anomaly Detection (LMLAD), Log Clustering with Cosine Similarity for Log Anomaly Detection (LCCLAD), Convolutional Auto-Encoder based Log Anomaly Detection (CAELAD), and Statistical Clustering for Log Anomaly Detection (SCLAD). …”
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Pedestrian Detection in Fisheye Images Based on Improved YOLOv8 Algorithm by ZHU Yumin, SUN Guangling, MIAO Fei

“…In view of the problems of inaccurate positioning and insufficient detection accuracy in pedestrian detection in fisheye images in existing target detection algorithms, an improved YOLOv8 algorithm for fisheye image detection is proposed. …”
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