Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

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Assessment of Machine Learning Methods for Concrete Compressive Strength Prediction by Oluwafemi Omotayo, Chinwuba Arum, Catherine Ikumapayi

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Predicting the frost heaving of bottom ash value for road design by A. A. Lunev, D. A. Razuvaev, V. V. Golubenko, M. G. Chakhlov

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Predicting metabolite response to dietary intervention using deep learning by Tong Wang, Hannah D. Holscher, Sergei Maslov, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

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Bedside clinical prediction tool for mortality in critically ill children. by Kanokkarn Sunkonkit, Chatree Chai-Adisaksopha, Rungrote Natesirinilkul, Phichayut Phinyo, Konlawij Trongtrakul

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Prediction of Landslide Susceptibility in the Karakorum under the Context of Climate Change by Yanqian Pei, Haijun Qiu, Yaru Zhu

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Self-perceived Action Competence for Sustainability and Environmental Attitudes by Eva Nyberg, Jérémy Castéra, Claire Coiffard Marre, Corinne Jégou, Cécile Redondo

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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

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The role of novel risk-scoring systems in predicting the efficacy of immunotherapy by Yu.V. Moskalenko

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Evaluasi Terhadap Program Planet Sains pada Siaran TV Edukasi untuk Sekolah Menengah Pertama by Suhartini Suhartini

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Impact of stain variation and color normalization for prognostic predictions in pathology by Siyu Lin, Haowen Zhou, Mark Watson, Ramaswamy Govindan, Richard J. Cote, Changhuei Yang

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Prediction of cardiac conduction disorders using the methods of mathematical analysis by S. Yu. Nikulina, A. A. Chernova, S. S. Tretyakova, D. A. Nikulin

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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

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The Satellite Risk Prediction and Radiation Forecast System (SaRIF) by Richard B. Horne, Sarah A. Glauert, Peter Kirsch, Daniel Heynderickx, Suzy Bingham, Peter Thorn, Babara‐Ann Curran, David Pitchford, Ewan Haggarty, David Wade, Ralf Keil

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Inositol polyphosphates regulate and predict yeast pseudohyphal growth phenotypes. by Kaitlyn L Norman, Christian A Shively, Amberlene J De La Rocha, Nebibe Mutlu, Sukanya Basu, Paul J Cullen, Anuj Kumar

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Charlson comorbidity index in predicting deaths in COVID-19 patients by A. V. Svarovskaya, А. O. Shabelsky, Artem V. Levshin

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Advancing Teaching Mathematics in Students at Universities of Economics for Sustainable Development by N. A. Burmistrova

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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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