Research on Spatial Coordinate Estimation of Karst Water-Rich Pipelines Based on Strapdown Inertial Navigation System by Zhihong Tian, Wei Meng, Xuefu Zhang, Bowen Wan

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Research on Economic Operation of Cascade Small Hydropower Stations Within Plants Based on Refined Efficiency Models by Daohong Wei, Chunpeng Feng, Dong Liu

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Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things by Xiaobo CHEN, Xiuyuan YANG

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Research on Cam–Kalm Automatic Tracking Technology of Low, Slow, and Small Target Based on Gm-APD LiDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

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Research on prediction of bottom hole flowing pressure for vertical coalbed methane wells based on improved SSA-BPNN by YU Yang, DONG Yintao, LI Yunbo, BAO Yu, ZHANG Lixia, SUN Hao

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Research on Simulation Method for Incoming Flood of Tianyi Reservoir Considering the Influence of Karst Geomorphology by YAN Kang, LIU Jianhua, LIN Kangling, WANG Shengyang, CHEN Hua, CHEN Jie, CHEN Senlin

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Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)–Transformer Models by Yunbin Ma, Zuyue Shang, Jie Zheng, Yichen Zhang, Guangyuan Weng, Shu Zhao, Cheng Bi

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Research on Thickness Error Optimization Method of Rolling System Based on Improved Sparrow Search Algorithm–Bidirectional Long Short-Term Memory Network–Attention by Qingyun Wu, Xinchen Li, Jiafei Ji, Bowen Xing

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Research on Path-Following Technology of a Single-Outboard-Motor Unmanned Surface Vehicle Based on Deep Reinforcement Learning and Model Predictive Control Algorithm by Bin Cui, Yuanming Chen, Xiaobin Hong, Hao Luo, Guanqiao Chen

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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…The research steps are as follows: Firstly, in order to obtain the sparse solution of LSSVM, a more reliable prediction model is realized by weighting the error value. …”
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Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms by Thomas Ott, Jascha Stracke, Susanna Sellin, Marc Kriege, Gerrit Toenges, Carsten Lott, Sebastian Kuhn, Kristin Engelhard

“…In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. …”
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Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing under data-driven by Meilin Zhu, Xiaoye Zhou, Xuan Wang

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Active Noise Reduction Algorithm Based on NOTCH Filter and Genetic Algorithm by Paweł GÓRSKI, Leszek MORZYŃSKI

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Scheduling Algorithm: Tasks Scheduling Algorithm for Multiple Processors with Dynamic Reassignment by Pradeep Kumar Yadav, M. P. Singh, Harendra Kumar

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K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm by Yan Gao

“…In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. …”
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Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm by Sami N. Hussein, Nazar K. Hussein

“…In this research paper, we introduce an optimized algorithm for MFO based on the SMA algorithm to get better performance using the features in the two algorithms, and two different algorithms are proposed in this field. …”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

“…The structural design of neural network is one of the hot issues in neural network research The number of hidden layers and nodes has a great influence on the convergence speed and generalization ability of neural network Genetic algorithm is an adaptive optimization probability search algorithm formed by simulating biological heredity and evolution Its core idea is derived from the natural law of biological genetics and survival of the fittest, and it is a search algorithm with the iterative process of “survival + detection” However, the selection of genetic algorithm parameters is subjective, slow convergence and easy to fall into premature convergence To solve these problems, an adaptive genetic algorithm is proposed to find the optimal neural network structure The adaptive genetic algorithm selects the first n optimal individuals and adds a certain amount of random individuals in the optimization process of each iteration to update the population, and selfadaptive optimization of the search step size of the population can ensure the diversity of the population and improve the convergence rate at the same time Then we code and the structure of neural network processing, adaptive genetic algorithm, neural network structure optimization, so as to make the neural network as soon as possible to find the optimal network structure and parameters, in order to improve the accuracy of neural network. …”
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Research on Optimization Method of Coal Blending for Carbon Emission Reduction Based on Bi-level Programming by CHEN Siqin, ZHU Yinan, LI Xiaochen, WANG Xuehai

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Research on cross-provincial power trading strategy considering the medium and long-term trading plan by Sizhe Yan, Weiqing Wang, Xiaozhu Li, Hang He, Xin Zhao

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RESEARCH ON APPLICABILITY OF BIONIC TECHNIQUES OF ARTIFICIAL BEE COLONIES FOR IMPLEMENTATION OF CLASSICAL TRANSPOSITION CIPHER CRYPTANALYSIS by Yury Olegovich Chernyshev, Alexander Sergeyevich Sergeyev, Engeny Olegovich Dybrov, Alexander Nikolaeyvich Ryazanov

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