Reliability and Quality of Complex Systems by D.N. Novomeisky, M.N. Piganov, E.T. Eskibaev

Polar code construction by estimating noise using bald hawk optimized recurrent neural network model by Sunil Yadav Kshirsagar, Venkatrajam Marka

“…The main objective of this study is to develop a recurrent neural network decoder for robust polar code construction with the Bald Hawk Optimization (RNN-based Decoder with BHO) model that can estimate the error in information bits. This research presents a practical and significant innovation by combining recurrent neural networks (RNNs) for noise estimation in polar coding with a Bald Hawk optimization approach. …”
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Research on Tracking Control of Unmanned Mine Trucks Based on Adaptive Preview by HUANG Yaoran, LIU Zhicong, KANG Yuanrong

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Research of the Transmission Accuracy Test Method of Precise Reducer used in Robot by Gong Yu, Zhou Xiaoju, Xu Leichen, Zhang Jingcai, He Jun

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Research on coal-rock boundary identification based on the morphological sobel algorithm by Guohui Chen, Yilai Wang, Shengwei Song, Wenhua Yang

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A Performance Research on the Threshold-Based Decoding Algorithm in Cooperative Communications by Chenjie Huo, Shuxin Chen, Hengyang Zhang

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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

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Research on the positioning of buried polyethylene pipelines considering the acoustic attenuation characteristics by Ao Zhang, Disheng Zhong, Zhuo Xu, Hanyu Zhang

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Research on early warning model of coal spontaneous combustion based on interpretability by Huimin Zhao, Xu Zhou, Jingjing Han, Yixuan Liu, Zhe Liu, Shishuo Wang

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Research Progress on Dynamic Uniform Load Characteristics of Planetary Gear Transmission by Li Kaiyang, Zhang Yijun, Wang Zhen, Zhang Guibin, Yan Shidang, Shi Lubing, Liu Zhongming

“…This study mainly studies the load sharing characteristics of the planetary gear transmission system and summarizes the current research status of this problem. The basic problems related to load sharing are expounded. …”
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Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…Finally, four regression evaluation indicators, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2), were used to evaluate the predictive performance of the established regression models. …”
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Research on Complex Association Network Model Based on LKJ Anomaly Data by YAN Sheng, YANG Xian, WANG Jili

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Analysis and research on the impact of medium voltage power line carrier communication by ZHAO Tonghan, SU Yuzhong

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Experimental Research on a Frost-free Air Source Heat Pump by Qiu Junjun, Zhang Xiaosong, Li Weihao

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Research on stray inductance extraction method for large-size power capacitor by TAN Yifan, CHEN Yanping, DOU Zechun, QI Yu, XIE Shunmeng, YANG Lele

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Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

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Research on Non-Probabilistic Reliability Partitioning Methods for Large Workspace Robots by Jianping Sun, Weian Yang, Xin Meng, Jun Peng, Zhaoping Tang

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Research on Protection Device for Control Equipment of HXD3 Locomotive Brake by SONG Chun-ru, LI Ping-hua

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A research on detecting and recognizing bridge cracks in complex underwater conditions by Wang Tao, Du Tao, Zou Xiaohong, Sun Yiming

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Research on Rotor Dynamic Characteristics of High Speed Aviation Piston Pump by Lijun Chen, Rushen Deng, Jun Zha, Jianning Gu, Tianxiang Xia, Runlin Chen

“…The accuracy of the model is verified by the finite element method. The maximum error of the spindle discrete model is 6.13%, and the maximum error of the rotor system discrete model is 15.28%. …”
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