Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…Experimental results using the NEU-DET dataset—after applying noise and Gaussian filtering—show that the GCHS-YOLO algorithm improves the mean Average Precision (mAP) by 1.2%, Precision by 0.8%, mAP@0.5:0.95 by 4.4%, and Recall by 2.8%, compared to the original YOLOv8s model.…”
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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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Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8 by Tianxin Zhang, Fuwei Wang, Weimin Wang, Qihao Zhao, Weijun Ning, Haodong Wu

“…To address these issues, this paper proposes a fire detection algorithm based on an improved YOLOv8 model. First, to enhance the detection capabilities for large-scale fire and smoke targets, a large target detection head is added to the backbone of the YOLOv8 model. …”
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Improved sparse domain super-resolution reconstruction algorithm based on CMUT. by Zhiqing Wei, Yanping Bai, Rong Cheng, Hongping Hu, Peng Wang, Wendong Zhang, Guojun Zhang

“…We compared the proposed algorithm with previously reported algorithms in the Shepp Logan model and the model based on the CMUT background. …”
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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

“…In the final stage, a UAV path planning simulation platform is employed to evaluate and compare the effectiveness of the original and improved algorithms. Simulation results demonstrate that the proposed NI–GWO algorithm can effectively solve the path planning problem for UAVs in uncertain environments. …”
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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

“…In order to better suppress harmonics and improve the quality of grid-connected power, an improved SHEPWM modulation method is proposed to be applied to the three-level inverter based on the in-depth analysis of the traditional selected harmonic elimination algorithm. …”
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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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