Liver fibrosis progression analyzed with AI predicts renal decline by Dan-Qin Sun, Jia-Qi Shen, Xiao-Fei Tong, Ya-Yun Ren, Hai-Yang Yuan, Yang-Yang Li, Xin-Lei Wang, Sui-Dan Chen, Pei-Wu Zhu, Xiao-Dong Wang, Christopher D. Byrne, Giovanni Targher, Lai Wei, Vincent W.S. Wong, Dean Tai, Arun J. Sanyal, Hong You, Ming-Hua Zheng

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Handgrip strength predicts leg power but not cardiorespiratory fitness in children by Salem Alotaibi, Rizwan Qaisar, Rizwan Qaisar, Rizwan Qaisar, M. Azhar Hussain, M. Azhar Hussain, Osama Aljuhani, Maha H. Alhussain, Diogo Luís Marques, Diogo Luís Marques, Daniel Almeida Marinho, Daniel Almeida Marinho, Shaea A. Alkahtani

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Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches by Honglei Yao, Andrew Topper

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Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier by Chenyang Li, Qianzhi Zhou, Luming Du, Sihan Zhang

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Application of Artificial Neural Network(s) in Predicting Formwork Labour Productivity by Sasan Golnaraghi, Zahra Zangenehmadar, Osama Moselhi, Sabah Alkass

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Hybrid preprocessing for neural network-based stock price prediction by Jian-Lei Li, Wei-Kang Shi

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Machine Learning based OTN Network Performance Degradation Prediction by CHEN Liping, LIAO Liang, ZHANG Peng, ZHU Dehan, PENG Zhichong, ZHOU Hao

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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

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Implications of Using Spheroidal “Cone Model” CMEs in Solar‐Wind Models by M. J. Owens, L. A. Barnard, C. Verbeke, B. P. S. McGinness, H. Turner, Y. Chi, D. Gyeltshen, M. Lockwood

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Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

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Extreme value prediction of the roll motion under random seas by Jie ZHU, Zailiang LIU, Yan LIN, Wei CHAI

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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

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Systems Biology of Human Microbiome for the Prediction of Personal Glycaemic Response by Nikhil Kirtipal, Youngchang Seo, Jangwon Son, Sunjae Lee

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Improving soil moisture prediction using Gaussian process regression by Xiaomo Zhang, Xin Sun, Zhulu Lin

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Prediction of impurities in cocoa shell powder using NIR spectroscopy by Marciano M. Oliveira, Marcus V.S. Ferreira, Mohammed Kamruzzaman, Douglas F. Barbin

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Application of continuum damage mechanics for prediction of wear in tillage tools by Sahar Ghatrehsamani, Mohammad Silani, Saleh Akbarzadeh, Shirin Ghatrehsamani

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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

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Advancing student outcome predictions through generative adversarial networks by Helia Farhood, Ibrahim Joudah, Amin Beheshti, Samuel Muller

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