Machine learning in subsurface physical properties and lithofacies prediction in a mining context by A. Balaguera, M. Torné, R. Carbonell, A. Martí, J. Vergés, M. J. Jurado, P. Sánchez-Pastor, A. Farci, D. Davoise, S. Rodríguez

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Prediction and classification of wheat plant disease in Pakistan using deep learning techniques by Muhammad Usman Malik, Muhammad Faisal Hayat

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Integrated Iot Approaches for Crop Recommendation and Yield-Prediction Using Machine-Learning by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

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Large‐scale breeding applications of unoccupied aircraft systems enabled genomic prediction by Andrew W. Herr, Peter Schmuker, Arron H. Carter

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PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning by Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal

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Comparing statistical learning methods for complex trait prediction from gene expression. by Noah Klimkowski Arango, Fabio Morgante

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Machine‐learning based spatiotemporal prediction of soil moisture in a grassland hillslope by Timo Houben, Pia Ebeling, Swamini Khurana, Julia Sabine Schmid, Johannes Boog

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Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

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Research on Export Oil and Gas Concentration Prediction Based on Machine Learning Methods by Xiaochuan Wang, Baikang Zhu, Huajun Zheng, Jiaqi Wang, Zhiwei Chen, Bingyuan Hong

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Prediction of Right Heart Failure in LVAD Candidates: Current Approaches and Future Directions by Frederick Vogel, Zachary W. Sollie, Arman Kilic, Ethan Kung

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Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities by Paul Iacobescu, Virginia Marina, Catalin Anghel, Aurelian-Dumitrache Anghele

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A link prediction approach based on deep learning for opportunistic sensor network by Jian Shu, Qifan Chen, Linlan Liu, Lei Xu

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Prediction of molecular targets of cancer preventing flavonoid compounds using computational methods. by Hanyong Chen, Ke Yao, Janos Nadas, Ann M Bode, Margarita Malakhova, Naomi Oi, Haitao Li, Ronald A Lubet, Zigang Dong

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The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

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Lipid Profile Scores Predict Severity of Pemphigus: A Cross-Sectional Study by Maryam Fallah, Anahita Najafi, Mahsa Ranjbar, Kamran Balighi, Maryam Daneshpazhooh, Soraiya Ebrahimpour-Koujan

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Wildfire Smoke Demonstrates Significant and Predictable Black Carbon Light Absorption Enhancements by James E. Lee, Kyle Gorkowski, Aaron G. Meyer, Katherine B. Benedict, Allison C. Aiken, Manvendra K. Dubey

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The Development of an Evidence-Based App to Predict the Need for Enhanced Care for People with Dementia by Sabina London, Shanquan Chen, Emad Sidhom, Christoph Mueller, Benjamin Underwood

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Dynamic Graph-Based Clustering for Non-Stationary Spatio-Temporal Event Prediction by Vasavi M., Murugan A., Sharma K. Venkatesh

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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters by Signe Ulfbeck Schovsbo, Michael Charles Sachs, Margit Kriegbaum, Anne Ahrendt Bjerregaard, Line Tang Møllehave, Susanne Hansen, Bent Struer Lind, Tora Grauers Willadsen, Allan Linneberg, Christen Lykkegaard Andersen, Line Lund Kårhus

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