An intelligent hybrid approach combining fuzzy C-means and the sperm whale algorithm for cyber attack detection in IoT networks by E. I. Elsedimy, Sara M. M. AboHashish

“…Next, we propose an adaptive threshold strategy to enhance the global search capability of SWA and prevent the algorithm from settling into local optima. Lastly, we present an efficient scaling approach that solves the clustering problem and finds the optimal cluster center, striking a balance between exploration and exploration in the search space. …”
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RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…To solve the above problems, this paper proposes an improved detection algorithm (RE-YOLO) based on YOLOv8n. …”
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FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

“…The proposed method not only extends the extreme learning machine into a multi-layer neural network to solve the problem of its limited ability of feature expression, but also introduces the whale optimization algorithm to optimize the number of neurons of the multi-layer extreme learning machine, and uses the opposition-based learning strategy to improve its convergence speed and detection accuracy so as to prevent the influence of randomly determining the number of neurons in each hidden layer on the generalization performance and location detection results of the detection method. …”
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Research on Arthroscopic Images Bleeding Detection Algorithm Based on ViT-ResNet50 Integrated Model and Transfer Learning by Zewen Liu, Shaoyi Zhou, Jianqiao Chu, Zhiyuan Chai, Dongdong Chang, Yi Yuan, Jinling Qin, Xiancheng Wang

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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

“…An edge device was utilized to deploy real-time detection of CLR with the best-trained model. The detection was successfully executed with high confidence in detecting CLR. …”
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Research on the Algorithm for Height Measurement of Sand Pipe Based on Deep Learning by YUAN Hongxiang, WANG Junping, SHEN Yunbo, ZHONG Xuyang, JIANG Haixiao

“…Firstly, the object detection of sand pipe in 2D image and the fitting segmentation of rail plane were realized through the deep-learning-based YOLOv3-tiny algorithm and DeepLabv3+ model. …”
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Direct blind multiuser detection without channel estimation and equalizer design by ZHANG Zhi-yong1, LING Yun2

“…The blind equalization and multiuser detection problem for synchronous high-rate DS-CDMA systems in dispersive channels was considered. …”
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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Aiming at the problems of low detection rate and high false detection rate of intrusion detection algorithms in the traditional cloud computing environment, an intrusion detection-data security protection scheme based on particle swarm-BP network algorithm in a cloud computing environment is proposed. …”
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RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion by Gang Liu, Yingzheng Huang, Shuguang Yan, Enxiang Hou

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Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

“…Abstract A significant challenge for many visually impaired people is they cannot be entirely independent and are restricted by their vision. They face problems with such actions and object detection should be an essential feature they can rely on a regular basis. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…However, it is valuable as these attacks may lead to big problems. Various methods are presented for attack detection and prevention. …”
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A Weak Signal Detection Method for Bearing Based on QGA and Stochastic Resonance by GE Jiang hua, WANG Yan, WANG Ya ping, SUN Yong guo, Xu Di

“…Aiming at the problems that the vibration signal is weak and the SNR is low in its early failure stage of rolling bearing, a weak signal detection method combining Quantum Genetic Algorithm (QGA) and Stochastic Resonance is proposed, which improves SNR and identifies fault location. …”
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Influence-Based Community Partition with DegreeRank Label Propagation (DRLP) Algorithm for Social Networks by Mingwu Li, Ailian Wang, Xuyang Gao, Bolin Li

“…Next, a novel importance index is designed for nodes to solve the random problem of existing similar algorithms by globalizing the local characteristics of nodes. …”
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Research on defect perception model of distribution network based on big data analysis and waveform matching algorithm by LIN Kaifeng, LI Yiming, ZHANG Bo, YANG Changyu, ZHU Zeting, YANG Zhenda

“…Aiming at the problem that after the distribution automation coverage, the massive signal data in the zone I system is not effectively used, and the switchgear in the distribution network ring network cabinet has frequent transient flashover, grounding and other conditions before failure, which cannot be found in time and lead to tripping, this paper proposes a defect perception model of distribution network based on big data analysis and waveform matching algorithm. …”
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Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

“…This method combines weakly supervised learning with energy function optimization to raise the efficiency of image feature annotation in object detection models. Besides, to raise the robustness and accuracy of target tracking algorithms in complex environments, an improved particle filter tracking method based on accelerated robust feature matching is proposed. …”
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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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Longitudinal tear detection system for belt conveyor based on deep learning by Zhiqiang YU, Xiangsheng PAN, Wei JIANG

“…In response to the common problems faced by belt conveyors in the field of longitudinal tear detection, such as high missed detection rate, frequent false alarms, and insufficient intelligence level, we develop an intelligent detection system for longitudinal tearing of strip surfaces that integrates machine vision and line laser technology. …”
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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…Machine learning (ML) and deep learning (DL) algorithms have improved image processing, speech recognition, defect detection, item identification, and medical sciences. …”
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A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application by Lei Wang, Xiurui Geng, Luyan Ji

“…The clever eye (CE) algorithm has been introduced for target detection in remote sensing image processing. …”
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High-Precision Landing on a Moving Platform Based on Drone Vision Using YOLO Algorithm by Hao Wu, Wei Wang, Tong Wang, Satoshi Suzuki

“…To overcome the challenge of the flight altitude being too high to detect the landing target, this paper first detects large-volume targets, followed by the precise identification of smaller targets, achieving enhanced recognition accuracy and speed through an improved YOLOv8 OBB algorithm. …”
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