Point cloud registration based on surface feature extraction and an improved Grey Wolf Optimization algorithm by Zimei Tu, Yichen Xie, Jinhua Jiang, Qin Qin

“…The extracted feature points serve as the initial values for the improved gray wolf optimization algorithm, which is employed to refine the registration results. …”
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An improved joint space Astar algorithm for a 6-DOF manipulator with pre-planning strategy by Chuangxin He, Shuaikai Lian, Qian Shi, Zhonghua Miao

“…To address this, this paper presents an improved joint space Astar algorithm for a 6 degree of freedom (DOF) manipulator with a pre-planning strategy. …”
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YOLOv8s-SNC: An Improved Safety-Helmet-Wearing Detection Algorithm Based on YOLOv8 by Daguang Han, Chunli Ying, Zhenhai Tian, Yanjie Dong, Liyuan Chen, Xuguang Wu, Zhiwen Jiang

“…To address this challenge, we propose YOLOv8s-SNC, an improved YOLOv8 algorithm for robust helmet detection in industrial scenarios. …”
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An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments by Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang

“…To tackle this problem, we propose an improved SAC (HM-SAC-CA) algorithm for path planning in unknown complex environments. …”
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High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…Finally, combining NWD and WIoU loss functions, a new loss function NWD-WIoU was designed to accelerate the convergence speed of algorithm detection and improve the detection performance of the algorithm for small objects. …”
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An improved incremental least-mean-squares algorithm for distributed estimation over wireless sensor networks by Mou Wu, Liansheng Tan, Rong Yang, Runze Wan

“…Thereby we propose an improved incremental least-mean-squares distributed estimation algorithm that starts from the incremental least-mean-squares algorithm and works toward the objective of improvement on initial convergence rate and steady-state performance. …”
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Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm by Yuanzheng Xiao, Huawei Hong, Feifei Chen, Xiaorui Qian, Ming Xu, Hanbin Ma

“…This study developed a highly accurate DPV power prediction method by optimizing a Long Short-Term Memory (LSTM) network's hyperparameters using an improved Multi-Objective Particle Swarm Optimization (MO-PSO) algorithm. …”
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The optimization of low Earth orbit satellite constellation visibility with genetic algorithm for improved navigation potential by Chao Qin, Yanbin Gao, Yihuan Wang

“…Abstract To tackle visibility optimization challenges in Low Earth Orbit satellite constellations, this study proposed an enhanced framework based on an adaptive parallel Genetic Algorithm (GA). The aim was to improve both navigation accuracy and dynamic robustness. …”
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An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns by Congdong Li, Hao Guo, Ying Zhang, Shuai Deng, Yu Wang

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Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios by Qunpeng Gao, Baiquan Qian, Fengqi Yu, Liye Chen, Peng Gao, Jiatao Wu, Zonghong Li, Weixing Wang, C.V. Jiaxing Xie

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Optimization of Human Resource Performance Management System Based on Improved R-Means Clustering Algorithm by Rui Wang

“…An improved R-means clustering algorithm and a clustering analysis model based on R-means clustering algorithm are proposed, and the corresponding algorithm flow and implementation are given.…”
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Prediction method of soil water content based on SVM optimized by improved salp swarm algorithm by Xiaoqiang ZHAO, Fan YANG, Zhufeng YAN

“…Aiming at the problems of low accuracy and low efficiency of traditional soil water content prediction methods, support vector machine (SVM) was used to establish a prediction model, and the soil water content prediction method based on SVM optimized was proposed by the improved salp swarm algorithm.Firstly, the opposition-based learning and chaotic optimization were introduced to improve the standard salp swarm algorithm to solve the problem that the algorithm was easy to fall into the local optimal solution and its convergence speed was slow.Secondly, the improved salp swarm algorithm was used to optimize the parameters that affect the performance of SVM and the corresponding prediction model was built.Finally, the proposed model was compared with the particle swarm optimization SVM and the whale algorithm optimized SVM prediction model.The experimental results show that the mean square error and decision coefficient of the proposed model are 0.42 and 0.901, which are better than the other two models which verified the effectiveness of the proposed method.…”
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Improved Snake Optimization and Particle Swarm Fusion Algorithm Based on AUV Global Path Planning by Haobo Jiang, Xinghong Kuang

“…An improved snake optimization algorithm (ISO) is proposed to obtain an effective and reliable three-dimensional path for an autonomous underwater vehicle (AUV) to navigate seabed barrier environments and ocean currents. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

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Improved Zebra Optimization Algorithm with Multi Strategy Fusion and Its Application in Robot Path Planning by Zhengzong Wang, Xiantao Ye, Guolin Jiang, Yiru Yi

“…The proposed MZOA’s performance improved by 15.8% compared to the basic ZOA The algorithm’s practical effectiveness across a range of environmental difficulties is confirmed by extensive assessment in engineering optimization and robotic route planning scenarios. …”
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Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model by Lv Deguo

“…In order to make better use of the spatial information and spectral information to improve the classification accuracy of hyperspectral remote sensing images, this article proposes an improved classification algorithm, a-HybridSN, based on the HybridSN (hybrid spectral network) model. …”
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Improved Tuna Swarm Optimization (ITSO) Algorithm based on Adaptive Fitness-Weight for Global Optimization by A. F. Seini Yussif, T. Seini, C. Adu

“… In this paper, an improved variant of the Tuna Swarm Optimization (TSO) algorithm called the Improved Tuna Swarm Optimization (ITSO) algorithm is proposed. …”
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Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm by Si Zhang, Heying Zhu, Xia Li, Yan Wang

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Adhesion control research for freight trains based on an improved sliding mode extremum seeking algorithm by CHENG Xiang, TANG Runzhong, HUANG Gang, HUANG Yishan

“…This paper presented an improved sliding mode extremum seeking control (SMESC) algorithm with time-varying parameters, as a solution to steady-state oscillation and slow convergence speed of the traditional SMESC algorithm in tracking the optimal adhesion point of freight trains. …”
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