Prediction of adverse clinical outcomes in pregnant women with severe and extremely severe forms of coronavirus infection by A. V. Shchegolev, R. E. Lakhin, A. A. Nikulin, S. G. Meshchaninova, V. F. Bezhenar

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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

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Probabilistic Prediction of Spudcan Bearing Capacity in Stiff-over-Soft Clay Based on Bayes’ Theorem by Zhaoyu Sun, Pan Gao, Yanling Gao, Jianze Bi, Qiang Gao

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Predictive Performance of Machine Learning with Evoked Potentials for SCI and MS Prognosis: A Meta-Analysis by Constantinos Koutsojannis, Dionysia Chrysanthakopoulou

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Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects. by Kevin Carolan, Andres Garchitorena, Gabriel E García-Peña, Aaron Morris, Jordi Landier, Arnaud Fontanet, Philippe Le Gall, Gaëtan Texier, Laurent Marsollier, Rodolphe E Gozlan, Sara Eyangoh, Danny Lo Seen, Jean-Francois Guégan

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Hybrid Neural Network Approach with Physical Constraints for Predicting the Potential Occupancy Set of Surrounding Vehicles by Bin Sun, Shichun Yang, Jiayi Lu, Yu Wang, Xinjie Feng, Yaoguang Cao

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Prediction of acoustic tinnitus suppression using resting-state EEG via explainable AI approach by Payam S. Shabestari, Stefan Schoisswohl, Zino Wellauer, Adrian Naas, Tobias Kleinjung, Martin Schecklmann, Berthold Langguth, Patrick Neff

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Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

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IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY by Hisyam Ihsan, Irwan Irwan, Andi Illa Erviani Nensi

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Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Hisham Allahem, Bader Aldughayfiq, Meshrif Alruily, Alshaimaa A. Tantawy, Mohamed Ezz

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Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach by Liucheng Chen, Zhiyuan Wang, Ji Zhang, Ying Meng, Xuelian Wang, Cancan Zhao, Longshan Shen

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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis by Yi Xu, Ying Mao, Xiaoting Hua, Yan Jiang, Yi Zou, Zhichao Wang, Zubi Liu, Hongrui Zhang, Lingling Lu, Yunsong Yu

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

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Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

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Analysis and prediction of land use/land cover change in the Llanganates-Sangay Connectivity Corridor by 2030 by Luis Jonathan Jaramillo Coronel, Andrea Cecilia Mancheno Herrera, Adriana Catalina Guzmán Guaraca, Juan Gabriel Mollocana Lara

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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

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