Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

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Improved Grey Wolf Algorithm: A Method for UAV Path Planning by Xingyu Zhou, Guoqing Shi, Jiandong Zhang

“…Subsequently, an Enhanced Grey Wolf Optimizer model (NI–GWO) is introduced, which optimizes the convergence coefficient using a nonlinear function and integrates the Dynamic Window Approach (DWA) algorithm into the model based on the fitness of individual wolves, enabling it to perform dynamic obstacle avoidance tasks. …”
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Forest Fire Detection Algorithm Based on Improved YOLOv11n by Kangqian Zhou, Shuihai Jiang

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An Improved SHEPWM Modulation Algorithm for Three-levelEnergy Feedback Inverter by WU Xuefeng, CHEN Jielian, WANG Xiong, SONG Qianru, YIN Weiheng

“…Meanwhile, the mathematical model of selected harmonic elimination is optimized and genetic algorithm is employed to solve the harmonic elimination model of the three-level NPC inverter. …”
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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…To mitigate synchronization errors within a multi-PID controller system and enhance its resistance to interference, an improved competitive and cooperative swarm optimizer for constrained multi-objective optimization (CMOCSO) algorithm is employed to optimize the parameters of the multi-PID controller. …”
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm by Tieying Jiang, Liang Jiang

“…The parametric mathematical model of the airfoil and aerodynamic parameter proxy model of airfoil were constructed using the Hicks-Henne improved function and CFD solution sample, focusing on the issues with particle swarm optimization algorithms such as slow convergence, a tendency to fall into local optimal solutions, and oscillation at a late stage; an optimization method for the low-speed airfoil of a small UAV based on improved particle swarm optimization was developed. …”
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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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Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm by Yan WANG, Jing JIANG, Hengjing HE, Ciwei GAO, Yong XIAO

“…Finally, the improved greedy search algorithm is used to solve the load combinatorial optimization model under different scenarios. …”
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Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…The proposed KM-DBSCAN algorithm, which combines K-means and DBSCAN, is used for customer segmentation. …”
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An improved traffic lights recognition algorithm for autonomous driving in complex scenarios by Ziyue Li, Qinghua Zeng, Yuchao Liu, Jianye Liu, Lin Li

“…This article proposed an improved vision-based traffic lights recognition algorithm for autonomous driving, integrating deep learning and multi-sensor data fusion assist (MSDA). …”
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YOLO-SWD—An Improved Ship Recognition Algorithm for Feature Occlusion Scenarios by Ruyan Zhou, Mingkang Gu, Haiyan Pan

“…This study aims to enhance the accuracy and robustness of ship recognition by improving deep learning-based object detection models, enabling the algorithm to perform ship detection and recognition tasks effectively in feature-occluded scenarios. …”
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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm by Feng-Hsiag Hsiao

“…On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems. …”
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Improved and efficient EM channel estimation algorithm for MIMO-OFDM systems by XU Peng1, WANG Jin-kuan1, QI Feng2

“…For multiple-input multiple-output with orthogonal frequency division multiplexing（MIMO-OFDM） systems,the error floor（EF） phenomenon at high signal noise rate（SNR） was induced by the expectation maximum（EM） channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduced to derive a modified EM algorithm,which im-proved the estimation performance at high SNR.Next,to enhance the data transmission efficiency and further the esti-mate performance of the proposed algorithm,phase orthogonal pilots sequences and joint estimation were carried out over multiple OFDM symbols respectively.Simulation results show that the proposed algorithm has better estimation performance and higher data transmission efficiency.…”
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Panel defect detection algorithm based on improved Faster R-CNN by Chen Wanqin, Tang Qingshan, Huang Tao

“…Experimental results show that the accuracy and recognition rate of the optimized network model have been greatly improved.…”
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Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm by Yingcheng Xu, Li Wang, Yuexiang Yang

“…In order to effectively solve the dynamic vehicle routing problem with time windows, the mathematical model is established and an improved variable neighborhood search algorithm is proposed. …”
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Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm by LI Jian-wei, YU Guang-bin

“…An improved sparrow search algorithm (ISSA) is proposed to solve the problems of poor development ability of sparrow search algorithm (SSA)， reduced population diversity when approaching the global optimum， and easy to fall into the local optimum solution. …”
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Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm by Shaoming ZHANG, Siqing SHENG

“…Under same conditions, the optimal operation model of the microgrid is solved using the original algorithm and the improved algorithm respectively, and the superiority of the improved algorithm is verified by comparing the solution results.…”
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NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM by YAN ShengLi, FU Hui, LI Hao

“…By adoption of the NDX crossover algorithm, CA sorting method and DE strategy can increase the search interval, ensure the population diversification distribution, and improve the convergence rate. …”
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Multi-Target Vehicle Tracking Algorithm Based on Improved DeepSORT by Dudu Guo, Zhuzhou Li, Hongbo Shuai, Fei Zhou

“…In this paper, we address the issues of insufficient accuracy and frequent identity switching in the multi-target tracking algorithm DeepSORT by proposing two improvement strategies. …”
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YOLOGX: an improved forest fire detection algorithm based on YOLOv8 by Caixiong Li, Yue Du, Xing Zhang, Peng Wu

“…YOLOGX was evaluated on the D-Fire dataset, achieving a mAP@0.5 of 80.92% and a detection speed of 115 FPS, surpassing most existing classical detection algorithms and specialized fire detection models. These enhancements establish YOLOGX as a robust and efficient solution for forest fire detection, providing significant improvements in accuracy and reliability.…”
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