Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

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PREDICTION OF PV POWER GENERATION USING ANFIS CONSIDERING UNCERTAINTIES by Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu

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Urinary biomarkers improve prediction of AKI in pediatric cardiac surgery by Oscar T. Deal, Oscar T. Deal, Thomas Mitchell, Amy G. Harris, Kelly Saunders, Julie Madden, Carrie Cherrington, Karen Sheehan, Mai Baquedano, Rusununguko Kanyongo, Giulia Parolari, Kirsty Phillips, Serban Stoica, Serban Stoica, Massimo Caputo, Massimo Caputo, Francesca Bartoli-Leonard, Francesca Bartoli-Leonard, Francesca Bartoli-Leonard

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Predicting diabetic kidney disease with serum metabolomics and gut microbiota by Yuyun Hu, Xue Ni, Qinghuo Chen, Yihui Qu, Kanan Chen, Gaohui Zhu, Minqiao Zhang, Ningjie Xu, Xu Bai, Jing Wang, Yanhong Ma, Qun Luo, Kedan Cai

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Impact of predicted microbiota tryptophanase activity on Cryptosporidium parvum proliferation. by Debora Regina Romualdo da Silva, Xiaojiao Yang, Giovanni Widmer

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On Predicting Marine Engine Measurements with Synthetic Data in Scarce Dataset by Sandi Baressi Šegota, Igor Poljak, Nikola Anđelić, Vedran Mrzljak

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Inclusion of maintenance energy improves the intracellular flux predictions of CHO. by Diana Széliová, Jerneja Štor, Isabella Thiel, Marcus Weinguny, Michael Hanscho, Gabriele Lhota, Nicole Borth, Jürgen Zanghellini, David E Ruckerbauer, Isabel Rocha

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Rebuild the Trust: Predicting the Financial Well-Being of Indonesian Insurers by Endang Dwi Astuti, Muhammad Irfan Hilman, Edbert Suryajaya

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The effect of imbalance data mitigation techniques on cardiovascular disease prediction by Raphael Ozighor Enihe, Rajesh Prasad, Francisca Nonyelum Ogwueleka, Fatimah Binta Abdullahi

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Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning by Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

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Optimized Dynamic Deployment of UAVs in Maritime Networks with Route Prediction by Yanli Xu, Yalan Shi

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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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Predictive value of an unsupervised web-based assessment of the neuropsychological function by Michelle Werrmann, Yesim Gür-Tok, Michael Eid, Michael Niedeggen

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

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