Mathematical modeling of Elbrus glaciers in the 21st century. Part 1. Glaciological model and setup of numerical experiments. by T. N. Postnikova, O. O. Rybak, A. S. Gubanov, H. Zekollari, M. Huss

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A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition by David Hollinger, Ryan S. Pollard, Mark C. Schall, Howard Chen, Michael Zabala

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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

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Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning by Rathachai Chawuthai, Teeratat Promchan, Jularak Rojsanga, Somrerk Chandra-ambhorn, Thanasak Nilsonthi, Patthranit Wongpromrat, Eakarach Bumrungthaichaichan, Amata Anantpinijwatna

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AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management by Joseph Finkelstein, Aref Smiley, Christina Echeverria, Kathi Mooney

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Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

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Potential Skill Map of Predictors Applied to the Seasonal Forecast of Summer Rainfall in China by Liu Boqi, Zhu Congwen

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Predictors of severe forms of rotaviral infection in children by K. D. Ermolenko, A. I. Konev, K. Yu. Ermolenko, Yu. V. Lobzin

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An Efficient Deep Learning Method for Typhoon Track Prediction Based on Spatiotemporal Similarity Feature Mining by Kaiwen Lixia, Mingyue Lu, Yifei Lu, Hui Liu, Ping Li

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Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease by Shinwan Kany, MD, MSc, Samuel F. Friedman, PhD, Mostafa Al-Alusi, MD, Shaan Khurshid, MD, MPH, Joel T. Rämö, MD, PhD, Daniel Pipilas, MD, James P. Pirruccello, MD, Christopher Reeder, PhD, Anthony A. Philippakis, MD, PhD, Jennifer E. Ho, MD, Mahnaz Maddah, PhD, Patrick T. Ellinor, MD, PhD, Akl C. Fahed, MD, MPH

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Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features by Hao Huang, Yan Xiong, Yuan Yao, Jie Zeng

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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

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Impact Assessment of Coupling Mode of Hydrological Model and Machine Learning Model on Runoff Simulation: A Case of Washington by Junqi Zhang, Jing Li, Huiyizhe Zhao, Wen Wang, Na Lv, Bowen Zhang, Yue Liu, Xinyu Yang, Mengjing Guo, Yuhao Dong

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An individualized nomogram for predicting risk of sepsis in patients with pyogenic liver abscesses: a 10 years retrospective analysis by Tiezhao Zhang, Xidong Cao, Liyong Zhang, Jinhua Cui, Jian Li, Ziyu Bai, Aijun Yu

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Eco-evolutionary dynamics of adapting pathogens and host immunity by Pierre Barrat-Charlaix, Richard A Neher

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Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

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Identifying patients at risk of suicide using data from health information exchanges by Shane J. Sacco, Kun Chen, Jun Jin, Boyang Tang, Fei Wang, Robert H. Aseltine

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Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLS by Jinsong Du, Jinsong Du, Xinru Tao, Le Zhu, Heming Wang, Wenhao Qi, Xiaoqiang Min, Xiaoqiang Min, Shujie Wei, Xiaoyan Zhang, Qiang Liu

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Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study by Mie Sylow Liljendahl, Kristina Ibler, Christian Vestergaard, Lone Skov, Pavika Jain, Jan Håkon Rudolfsen, Ann Hærskjold, Mathias Torpet

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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

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