Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…The improved incremental Transformer algorithm presented in this paper will contribute to enhancing the efficiency of digital image technology in the realm of rock damage, saving time and money, and offering an innovative approach to traditional rock damage analysis.…”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…ObjectiveTo assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.MethodsThe research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. …”
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YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection by Yuxi Huang, Hong Zhao, Jie Wang

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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…The iterative process of genetic algorithms preserves high fitness pathways while generating new ones. …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…The results demonstrated that the optimized production line significantly improved efficiency while maintaining safety standards.…”
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Swarm Intelligence Algorithms for Optimization Problems a Survey of Recent Advances and Applications by Mande Smita Samrat, M Srinivasulu, Anand Sruthi, K Anuradha, Tiwari Mohit, U Esakkiammal

“…The responsiveness of SI algorithms to parameter configurations facilitates the development of adaptive methods that dynamically adjust parameters, while the demand for a better exploration-exploitation balance creates opportunity for development of convergence strategies that improve efficiency. …”
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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…After reinforcement learning training, the trajectory offset is significantly reduced, and the accuracy is greatly improved. This research shows that the TD3 algorithm is superior to the multi-objective optimization algorithm in optimizing key parameters, such as well deviation, kickoff point (KOP), and trajectory length, especially in well deviation and KOP optimization. …”
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Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization by Junming Chen, Yanxiu Wang, Zichun Shao, Hui Zeng, Siyuan Zhao

“…To further enhance the performance of the algorithm, a shift-based density estimation (SDE) method is introduced to maintain the diversity of solutions in the driving population, while a multi-criteria evaluation metric is adopted to improve the feasibility quality of solutions in the normal population. …”
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Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm by Xianglai Liao, Lili Gui, Shulei Bi, Ang Gao, Zhenming Yu, Kun Xu

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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…The aim of this study is to optimize the beer fermentation process by maximizing the ethanol concentration while minimizing species that adversely affect the organoleptic properties of beer. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…Consequently, the cache access pattern is optimized, leading to fewer cache misses and improved search times. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…Simulation results show that the proposed algorithm improves the capacity of the system while ensuring the performance of fairness better compared with the algorithm in[10]. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…Simulation results show that the proposed algorithm improves the capacity of the system while ensuring the performance of fairness better compared with the algorithm in[10]. …”
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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…The simulation results show considerable improvements in terms of localization accuracy and convergence rate while keeping a limited archive size by a method using the global optimal selection operator and dynamically maintaining the archive.…”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…The overall performance surpasses CNN and MADNet models, and verification using the improved YOLOv8 model significantly enhances defect detection confidence while greatly reducing missed detections. …”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…Finally, the genetic algorithm was applied to optimize grinding process parameters with material removal rates as the indicator.ResultsThe grinding process parameters have significant effects on grinding forces, but the order of major and secondary effects of different parameters varies with grinding force components. …”
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Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms by Ana I. Oviedo, Jorge M. Londoño, John F. Vargas, Carolina Zuluaga, Ana Gómez

“…ML models are used to predict compressive strength, while genetic algorithms optimize the mixture cost under quality constraints. …”
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SACWOM: Synergistic Adaptive Congestion Window Optimization Mechanism for Self-Clocked Algorithm by Haider Dhia Zubaydi, Ahmed Samir Jagmagji, Sandor Molnar

“…Phase II analysis shows up to 20.76-22.64% improvements with optimized configurations. Finally, Phase III, comprising 100 experiments, reveals SACWOM’s dynamic adaptability, achieving up to 50-70% improvements. …”
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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks by Yulong Zhu, Wei Tian, Xuhong Jia, Quanyi Liu

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