New Channel Estimation Algorithm for Non-Sample-Spaced Channels in Fast Time-Varying OFDM System by 刘顺兰, 汪佳丽

“…The simulation results show that the bit error rate and channel mean square error of the proposed algorithm are both effectively improved.…”
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Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. by Qinghe Guo, Mengchao Wang, Renjun Liu, Yurong Chen, Shenghuai Wang, Hongxia Wang

“…For step input, the rise time and the root mean square error(RMSE) are reduced by 66.7[Formula: see text] and 70.3[Formula: see text], respectively, compared to BWO-FOPID. …”
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New Channel Estimation Algorithm for Non-Sample-Spaced Channels in Fast Time-Varying OFDM System by 刘顺兰, 汪佳丽

“…The simulation results show that the bit error rate and channel mean square error of the proposed algorithm are both effectively improved.…”
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Association between Two Cardiovascular Health Algorithms and Kidney Stones: A Nationwide Cross-sectional Study by Shan Yin, Zhenzhen Yang, Pingyu Zhu, Xuesong Yang, Xiaodong Yu, Tielong Tang, Yan Borné

“…The mean LS7 and LE8 scores were 8.4 and 68.6, respectively. …”
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Spatiotemporal analysis of ocean primary productivity in Bohai Sea estimated using improved DINEOF reconstructed MODIS data by Shuhan Jia, Linlin Bei, Yu Li, Quanhua Zhao

“…The main results are as follows: (1) The root mean square error values of the reconstructed data were all less than 0.1, and the absolute error values of the estimated OPP were even smaller. …”
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Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm. by Zeonlung Pun, Qiaoyun Xue, Yichi Zhang

“…Further optimization through genetic algorithms identified candidate compounds with superior bioactivity, achieving pIC50 values as high as 10.05, surpassing the previously observed peak values in the dataset. …”
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Kalman Filtering Algorithm for Systems with Stochastic Nonlinearity Functions, Finite-Step Correlated Noises, and Missing Measurements by Yonghui He, Jibin Jiang, Hischuan Huang, Shufang Zhuo, Yanfeng Wu

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Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). …”
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Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm by Yanbo Lu, Tong Li, Ying Deng

“…In this study, a back propagation artificial neural network (BPANN) coupled with genetic algorithm (GA) was constructed to predict peak concentrations. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Experimental results showed that the precision, recall, and mean average precision (mAP) of the improved YOLOv8 algorithm on the defect dataset reached 92.7%, 98.5%, and 92.4%, respectively, and the detection speed was 138 FPS that met the real-time requirements of intelligent production lines for defect detection in the DR images of aluminum and magnesium alloy castings.…”
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MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

“…To overcome these challenges, this paper proposes MAS-YOLO, a lightweight detection algorithm for PCB defect detection based on improved YOLOv12 architecture. …”
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AnImproved Naive Bayesian Text Classification Algorithm based on Weighted Features and its Complementary Set by CHEN Kai, HUANG Ying-lai, GAO Wen-tao, ZHAO Peng

“…The experimental results comparing with the traditional Nave Bayes and the complement Na-ve Bayes show that the TFWCNB algorithm has the best performance when the sample set is unevenly distributed，its classification precision，recall and g-mean value can relatively reach 82. 92% ，84. 6% and 88. 76% ．…”
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Enhanced crayfish optimization algorithm: Orthogonal refracted opposition-based learning for robotic arm trajectory planning. by Yuefeng Leng, Chunlai Cui, Zhichao Jiang

“…Additionally, performance comparisons with eight advanced algorithms on the CEC2017 test set (30-dimensional, 50-dimensional, 100-dimensional) are conducted, and the ECOA's effectiveness is validated through Wilcoxon rank-sum and Friedman mean rank tests. …”
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Research on dynamic parameter identification of space hyper-redundant manipulators using iterative WLS-TCS algorithm by ZHANG Wenjun, LI Yi, ZHOU Yufei, ZHANG Haohao, ZHU Mingchao, TANG Bo

“…An iterative WLS-TCS algorithm was proposed to identify the ground dynamics parameters of the space hyper-redundant manipulator, which laid a foundation for obtaining the high-precision dynamic model of the manipulator and the research of space in-orbit dynamic control.MethodsFirstly, the terminal crossover and steering-based particle swarm optimization (TCS-PSO) algorithm was used to design periodic Fourier series satisfying multiple constraints as the optimal excitation trajectory. …”
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Study on Noise Reduction of Hydrostatic Leveling Signals for Wind Turbine Foundations Based on CEEMDAN-SG Algorithm by Renjie Li, Xiangxing Lu, Zhixin Song, Huanwei Wei, Fang Tan, Zhonghua Liu

“…The denoising performance of each algorithm was evaluated through quantitative analysis, which included calculating the signal-to-noise ratio, mean square error, and coefficient of determination derived from the simulated signal data. …”
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Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management System by T. O. Ting, Ka Lok Man, Eng Gee Lim, Mark Leach

“…This is the motivation for the application of a metaheuristic algorithm. Hence, the result is further improved by applying a genetic algorithm (GA) to tune Q and R parameters of the KF. …”
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LPCF-YOLO: A YOLO-Based Lightweight Algorithm for Pedestrian Anomaly Detection with Parallel Cross-Fusion by Peiyi Jia, Hu Sheng, Shijie Jia

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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms by Aihua Yu, Qingjie Xiao

“…In comparison with the previous prediction models such as SVR, LSTM, CNN-LSTM and CNN-GRU, obviously, the prediction effect of AWPSO-LSTMAT is significantly improved by means of modifying and optimizing the original algorithm. …”
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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

“…Abstract Existing multi-objective evolutionary algorithms (MOEAs) have demonstrated excellent efficiency when tackling multi-objective tasks. …”
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Rainfall Prediction in Khorasan Razavi Stations Using a Hybrid Neural Network and Genetic Algorithm Approach by Mahdi Naseri, Mahsa Mardani

“…This study proposes a novel hybrid approach, combining the Non-linear Auto Regressive with eXogenous inputs (NARX) neural network with a Genetic Algorithm (GA) for parameter optimization, aiming to improve daily rainfall prediction in Khorasan Razavi province, Iran. …”
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