Position Deployment Optimization of Maneuvering Conventional Missile Based on Improved Whale Optimization Algorithm by Yaxiong Li, Xinwei Zhang, Jiufen Zhao, Xinzhi Yang, Mingyuan Xi

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Solution for Forward Kinematics of Parallel Mechanism based on PSO-BPNN and Newton-Raphson Algorithm by Qiguo Hu, Yanli Luo, Lijie Cao, Jun Zhang

“…Taking parallel mechanism as a research object， aiming at the problem that neural network algorithm is easy to fall into local optimization and the Newton-Raphson algorithm is sensitive to the initial value of iteration when solving forward kinematics， a general forward kinematics algorithm combining PSO-BPNN and Newton-Raphson algorithm is proposed. …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…However, similar to other swarm intelligence algorithms, the SSA has the problem of being prone to falling into local optimal solutions during the optimization process, which limits its application effectiveness. …”
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Real-Time Geo-Localization for Land Vehicles Using LIV-SLAM and Referenced Satellite Imagery by Yating Yao, Jing Dong, Songlai Han, Haiqiao Liu, Quanfu Hu, Zhikang Chen

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Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

“…Although the marine predators algorithm (MPA) is one of the most widely applied meta-heuristics, it has encountered challenges in the fault diagnosis of wind turbines, i.e. low convergence rates and proneness to falling into local optima, which adversely affect the real-time capability and accuracy of diagnosis. …”
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Cognitive Electronic Jamming Decision-Making Method Based on Improved Q-Learning Algorithm by Huiqin Li, Yanling Li, Chuan He, Jianwei Zhan, Hui Zhang

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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…Path planning is a key problem in the autonomous navigation of mobile robots and a research hotspot in the field of robotics. Harris Hawk Optimization (HHO) faces challenges such as low solution accuracy and a slow convergence speed, and it easy falls into local optimization in path planning applications. …”
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Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

“…The research of localization technology based on received signal strength and machine learning has recently attracted a lot of attentions, since with the help of enough labeled training data this technology is able to achieve high positioning accuracy. …”
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Application of the Multi-Strategy Improved Walrus Optimization Algorithm in Mobile Robot Path Planning by Yongfu Ke, Limei Shi, Weinan Ji, Peng Luo, Lei Guo

“…These strategies aim to enhance the algorithm’s local search capability and precision, optimizing the issues of the original algorithm’s proneness to falling into local optima and slow convergence speed. …”
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Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

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A Multimetric Ant Colony Optimization Algorithm for Dynamic Path Planning in Vehicular Networks by Zhen Wang, Jianqing Li, Manlin Fang, Yang Li

“…At the same time it could effectively avoid local optimum compared with the traditional algorithms.…”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…The proposed method consists of a Deep Convolutional Neural Network to reconstruct a benign image from the adversarial one; a Calculating Maximum Error block to highlight the mismatches between input and reconstructed images; a Localizing Anomalous Fragments block to extract the anomalous regions using the Isolation Forest algorithm from histograms of images’ fragments; and a Clustering and Processing block to group and evaluate the extracted anomalous regions. …”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

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Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure by Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng

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Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm by Cheng ZHONG, Di ZHAI, Yang LU, Xiaobo LIU, Xinru WANG, Xiongwen ZHAO

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Urban flood hazard assessment using FLA-optimized boost algorithms in Ankara, Türkiye by Enes Gul

“…By applying advanced boosting algorithms—specifically, XGBoost, GradientBoost, and CatBoost—along with hyperparameter optimization through the Fick’s law algorithm (FLA), this research introduces an innovative methodology aimed at improving the reliability and accuracy of flood hazard assessments in Ankara’s urban landscape. …”
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Three-Dimensional Visualization Algorithm Simulation of Construction Management Based on GIS and VR Technology by Shuhong Xu

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Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, CHEN Feng

“…The results show that the reconstruction accuracy of the proposed algorithm is improved. This method provides a new research perspective for ECT image reconstruction.…”
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Improve Particle Swarm Optimization and Differential Evolution Algorithms Using Nash Bargaining Theory by Marziye Dadvar, Hamidreza Navidi, Hamid Haj Seyyed Javadi, Mitra Mirzarezaee

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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm by Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola

“…Previously, the BES algorithm is used to consume the energy and distance; to improve the better energy and reduce the offloading latency in this research and some delays occur when devices increase causes demand for cloud data, it can be improved by offering ROS (resource) estimation. …”
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