Water Quality Coupling Model Classifications and Their Applications by WANG Wei, WANG Xiaoqing

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Physics-informed deep learning with Kalman filter mixture for traffic state prediction by Niharika Deshpande, Hyoshin (John) Park

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Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer by Le Zhang, Chunqiu Zheng, Tian Li, Lei Xing, Han Zeng, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou

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An End-to-End CRSwNP Prediction with Multichannel ResNet on Computed Tomography by Shixin Lai, Weipiao Kang, Yaowen Chen, Jisheng Zou, Siqi Wang, Xuan Zhang, Xiaolei Zhang, Yu Lin

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Research on Webshell-based botnet by Ke LI, Bin-xing FANG, Xiang CUI, Qi-xu LIU, Zhi-tao YAN

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Adverse childhood experiences predict anxiety during postpartum and early childhood parenting by Chelsea Walker-Mao, Charlotte V. Farewell, Sarah Nagle-Yang, Sarah Blackwell, Jenn A. Leiferman

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Logistic regression in predicting bullying based on the components of emotional intelligence and spiritual intelligence. by Saeed Fakharyzade Najafabadi, Ali Mohammad Rezaei, Mohammad Ali Mohammadyfar, ,Siavash Talepasand

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Use of machine learning to predict creativity among nurses: a multidisciplinary approach by Rola H. Mudallal, Majd T. Mrayyan, Mohammad Kharabsheh

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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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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

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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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Support Vector Machine and Granular Computing Based Time Series Volatility Prediction by Yuan Yang, Xu Ma

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Predictive Function Optimization Control for a Class of Hydraulic Servo Vibration Systems by Xugang Feng, Jiayan Zhang, Jing Wang, Shaokang Xiong, Qiling Wu, Yetai Fei

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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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Hourly and Day Ahead Power Prediction of Building Integrated Semitransparent Photovoltaic System by S. Kaliappan, R. Saravanakumar, Alagar Karthick, P. Marish Kumar, V. Venkatesh, V. Mohanavel, S. Rajkumar

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MODEL IN PROFESSIONAL NURSING EDIFICATION by K Kannan, Joseph jeganathan, Nagarajaiah

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Competency-based and less time-bound: a new approach to the macro-structure of a medical school curriculum by Miriam Hoffman, Lindsey Dedow, Jeffrey Boscamp

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The predictive relationship between parents’ perceptions of physical activity and children’s physical literacy by Bin Long, Senlin Chen, Yicheng Long, Yang Liu, Yangyang Li, Yuhuai Wang, Ping Wang, Mingang Guo, Yiwu Yang

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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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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

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