Predicting stroke with machine learning techniques in a sub-Saharan African population by Benjamin Segun Aribisala, Deirdre Edward, Godwin Ogbole, Onoja M. Akpa, Segun Ayilara, Fred Sarfo, Olusola Olabanjo, Adekunle Fakunle, Babafemi Oluropo Macaulay, Joseph Yaria, Joshua Akinyemi, Albert Akpalu, Kolawole Wahab, Reginald Obiako, Morenikeji Komolafe, Lukman Owolabi, Godwin Osaigbovo, Akinkunmi Paul Okekunle, Arti Singh, Philip Ibinaye, Osahon Osawata, Adeniyi Sunday, Ijezie Chukwuonye, Carolyn Jenkins, Hemant K. Tiwari, Okechukwu Ogah, Ruth Y. Laryea, Daniel T. Lackland, Oyedunni Arulogun, Omotolani Ajala, Rufus Akinyemi, Bruce Ovbiagele, Steffen Sammet, Mayowa Owolabi

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Physically Based Green–Ampt Model in Polar Coordinate System Predicting Soil Water Transport in Moistube Irrigation: Comparison of Physical, Semi-Physical-Empirical, and Numerical... by Ce Wang, Qun Zhang, Shengwei Zhao, Jun Qian, Qi Li, Jinyang Ye, Xiaoan Chen, Wuerkaixi Kurexi, Mingyi Huang, Zhanyu Zhang

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A prediction rigidity formalism for low-cost uncertainties in trained neural networks by Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli

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Bayesian neural networks for predicting tokamak energy confinement time with uncertainty quantification by Enliang Gao, Chenguang Wan, Youjun Hu, Minglong Wang, Jingjing Lu, Zhisong Qu, Xinghao Wen, Jia Huang, Ying Chen, Heru Guo, Zhengping Luo, Zhi Yu, Xiaojuan Liu, Qiping Yuan, Jiangang Li

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Gyrokinetic prediction of core tungsten peaking in a WEST plasma with nitrogen impurities by J. Dominski, P. Maget, P. Manas, J. Morales, S. Ku, A. Scheinberg, C.S. Chang, R. Hager, M. O’Mullane, the WEST team

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NAVIP: Unraveling the influence of neighboring small sequence variants on functional impact prediction. by Jan-Simon Baasner, Andreas Rempel, Dakota Howard, Boas Pucker

“…These variants can be enriched with predictions about their functional implications based on available structural annotations, i.e., gene models. …”
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Electrohysterogram Data Augmentation Using Generative Adversarial Network for Pregnancy Outcome Prediction by Muhammad Omar Cheema, Zia Mohy-Ud-Din, Azhar Imran, Fawad Salam Khan, Mahmood Basil A. Al-Rawi, Mohammed A. El-Meligy, Jahan Zeb Gul

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Gyrokinetic profile prediction and validation of a negative triangularity plasma in ASDEX Upgrade by R. Bielajew, B. Vanovac, N.T. Howard, P. Rodriguez-Fernandez, L. Aucone, G.D. Conway, T. Happel, C. Holland, P. Mantica, J. Schellpfeffer, C. Yoo, A.E. White, the EUROfusion WPTE Team, the ASDEX Upgrade Team

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Exploring the potentialities and challenges of deep learning for simulation and prediction of urban sprawl features by Ange Gabriel Belinga, Stéphane Cedric Tékouabou Koumetio, Mohamed El Haziti

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Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

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Rate of penetration prediction for large-diameter offshore drilling for wind farm structures by Abbasov Abbas, Abbasov Tural, Merey Sukru

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Kinetic rate constant prediction supports the conformational selection mechanism of protein binding. by Iain H Moal, Paul A Bates

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AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion by L. A. Ruiz, A. A. Boriskevich

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Severe deviation in protein fold prediction by advanced AI: a case study by Jacinto López-Sagaseta, Alejandro Urdiciain

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Automatic identification of music performer using the linear prediction cepstral coefficients method by Magdalena CHUDY

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Predict the Laser Power and Recovery Period in Treatment by Endovenous Laser Ablation (EVLA) by Bushra Ghali Yousif, Sahib Neamah Abdul-Wahid, Kadhum Jawad Shabaa

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Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

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PREDICTION OF MASS PRODUCTION OF FABA BEAN CROP USING DIGITAL IMAGE ANALYSIS by Tarek FOUDA

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Criteria for predicting the initiation of rolling contact fatigue damage in the railway wheels and rails by V. I. Sakalo, A. V. Sakalo

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BMWP: the first Bengali math word problems dataset for operation prediction and solving by Sanchita Mondal, Debnarayan Khatua, Sourav Mandal, Dilip K. Prasad, Arif Ahmed Sekh

“…Furthermore, we investigate operation prediction from Bengali word problems using state-of-the-art deep learning (DL) techniques. …”
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