Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

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Numerical Prediction of Chloride Penetration in Concrete Exposed to a Marine Environment at Tide by Sung In Hong, Ki Yong Ann

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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions by VIJAI M. MOORTHY, BHUPAL N. DHARAMSOTH, VIJAYALAKSHMI MUTHUKARUPPAN, ARUL ELANGO, KALAIARASI GANESAN

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TRADE LIBERALIZATION AND POVERTY IN ECONOMIC COMMUNITY OF WEST AFRICAN STATES by Olugbenga Peter Oluwo, Oluwaseyi Adedayo Adelowokan, Olukayode Emmanuel Maku

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Research on Different Energy Transition Pathway Analysis and Low-Carbon Electricity Development: A Case Study of an Energy System in Inner Mongolia by Boyi Li, Richao Cong, Toru Matsumoto, Yajuan Li

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Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial by Thanh G. Phan, Velandai K. Srikanth, Dominique A. Cadilhac, Mark Nelson, Joosup Kim, Muideen T. Olaiya, Sharyn M. Fitzgerald, Christopher Bladin, Richard Gerraty, Henry Ma, Amanda G. Thrift

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Prediction of Total Organic Carbon Content in Shale Based on PCA-PSO-XGBoost by Yingjie Meng, Chengwu Xu, Tingting Li, Tianyong Liu, Lu Tang, Jinyou Zhang

“…The four principal components were also identified as input features through PCA processing. The XGBoost prediction model, established after selecting the parameters through PSO intelligence, had the highest accuracy with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> and RMSE of 0.90 and 0.1545, respectively, which are superior to the values of the other models. …”
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Assessing the impact on quality of prediction and inference from balancing in multilevel logistic regression by Carolina Gonzalez-Canas, Gustavo A. Valencia-Zapata, Ana Maria Estrada Gomez, Zachary Hass

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Hybrid sequence learning with interpretability for multi-class quality prediction in injection molding by Varathorn Punyangarm, Supatchaya Chotayakul

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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

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A web-based machine learning framework for building energy efficiency prediction by B.S.S.V. Ramana, S. Chanikya Kumar, N. Bharath Kumar, Attuluri R. Vijay Babu

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Prediction of Prognosis in Patients with Hepatocellular Carcinoma Based on Molecular Subtypes of Immune Genes by Suming Du, Jinhui Xu, Jiajia Shen, Xiaojin Zhang, Huanzhang Hu, Xinghua Huang

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Classification of Muscle Invasive Bladder Cancer to Predict Prognosis of Patients Treated with Immunotherapy by Zhifeng Wang, Xiqing Li, Xiaoqing Wang, Jie Liu, Lingdian Wang, Wei Wei, Xiaoyu Duan, Degang Ding

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Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning by Clyde Mulenga, Patrick Kaonga, Raymond Hamoonga, Mazyanga Lucy Mazaba, Freeman Chabala, Patrick Musonda

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Lightweight joint source-channel coding method based on MIMO-CSI prediction by YU Chuangyu, XU Yanyan, PAN Shaoming

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Facilitating access to supervised smoking facilities: a qualitative study by Courteney Wettemann, Jeffrey Morgan, Tara Taylor, Ardina Boll, Scott Maxwell, Lindsey Richardson, Seonaid Nolan, Jenna van Draanen

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Predicting BRAF Mutations in Cutaneous Melanoma Patients Using Neural Network Analysis by Oleksandr Dudin, Ozar Mintser, Vitalii Gurianov, Nazarii Kobyliak, Dmytro Kaminskyi, Alina Matvieieva, Roman Shabalkov, Artem Mashukov, Oksana Sulaieva

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Contrasting kinetics of arsenic release from As-bearing ferrihydrite coprecipitates by distinct sulfate-reducing bacteria by Ran Luo, Yu Cheng, Tenglong Song, Zhengyu Wu, Yanhong Wang, Ping Li

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Modeling of chronic ovary inflammation by N. А. Volkova, M. S. Yuhta, Т. А. Yurchuk, L. V. Stepanuk, E. D. Ivanova, E. V. Pavlovich

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The crime prevention quadrant plan in Chile by Patricio Moreno-Herrera

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