Relational Knowledge Prediction via Dynamic Bi-Mode Embedding by Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

Get full text

Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS by Jieshun Zhu, Wanqiu Wang, Yanyun Liu, Arun Kumar, David DeWitt

Get full text

$$\alpha$$ -decay half-life predictions with support vector machine by Amir Jalili, Feng Pan, Jerry P. Draayer, Ai-Xi Chen, Zhongzhou Ren

Get full text

Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

Get full text

Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis by Rahul Sheshanarayana, Fengqi You

Get full text

A novel trajectory similarity–based approach for location prediction by Zelei Liu, Liang Hu, Chunyi Wu, Yan Ding, Jia Zhao

Get full text

An Updated Solar Cycle 25 Prediction With AFT: The Modern Minimum by Lisa A. Upton, David H. Hathaway

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text