Nonlinear Reduced-Order Observer-Based Predictive Control for Diving of an Autonomous Underwater Vehicle by Xuliang Yao, Guangyi Yang, Yu Peng

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REMAINING USEFUL LIFE OF ROLLING BEARING BASED ON t⁃SNE by ZHONG JianHua, HUANG Cong, ZHONG ShunCong, XIAO ShunGen

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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

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Prediction of Mold Spoilage for Soy/Polyethylene Composite Fibers by Chinmay Naphade, Inyee Han, Sam Lukubira, Amod Ogale, James Rieck, Paul Dawson

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Crack-Depth Prediction in Steel Based on Cooling Rate by M. Rodríguez-Martín, S. Lagüela, D. González-Aguilera, P. Rodríguez-Gonzálvez

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The Comprehensive Contributions of Endpoint Degree and Coreness in Link Prediction by Yang Tian, Yanan Wang, Hui Tian, Qimei Cui

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Predictive Functional Control-Based Zenith Pass Controller Design for Roll-Pitch Seeker by Xinchun Wang, Bo Mo, Xuan Li, Shangen Su

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Bayesian-optimized ensemble deep learning models for demand forecasting in the volatile situations: A case study of grocery demand during Covid-19 outbreaks by Nader AL Theeb, Hazem Smadi, Naser Al-qaydeh

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Research of worm-propagation prediction based on stochastic experiment by LIU Ting1, ZHENG Qin-hua1, GUAN Xiao-hong1, QU Yu1, WANG Na1

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Machine learning for active sites prediction of quinoline derivatives by Jie Sun, Zi-Hao Li, Yi-Fei Yang, Shu-Yu Zhang

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Scoring system development for prediction of extravesical bladder cancer by Prelević Rade, Stojadinović Miroslav M., Simić Dejan, Spasić Aleksandar, Petrović Nikola

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Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

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IGBT Module Lifetime Prediction Technology for Rail Transit by Bin WANG, Lin CAO

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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

“…For optical imagery, the Bayesian-optimized XGBoost model achieves the best performance (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9870</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.44</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>NSE</mi><mo>=</mo><mn>0.9651</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>KGE</mi><mo>=</mo><mn>0.8950</mn></mrow></semantics></math></inline-formula>), followed closely by CatBoost (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9826</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.83</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>). …”
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Prediction of the corrosion rates of subsea pipelines via KPCA by Shiqi Xu, Changhe Huang, Hongda Zhao

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Research of worm-propagation prediction based on stochastic experiment by LIU Ting1, ZHENG Qin-hua1, GUAN Xiao-hong1, QU Yu1, WANG Na1

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Prediction of Traffic Accident Severity Based on Random Forest by Jianjun Yang, Siyuan Han, Yimeng Chen

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The Variables Predicting the Appointment of Candidate Teachers to Primary Schools by Nuri DOĞAN, Ali Ekber ŞAHİN

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Electrical Grounding Fault Prediction of EMU Traction Motor by Xuemiao PANG, Chunxing PEI, Chunguang YAN, Dongxing WANG, Jie JIANG

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