Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation... by T. Honda, A. Amemiya, S. Otsuka, G.‐Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, T. Miyoshi

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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

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Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health by Avijit Mitra, Kun Chen, Weisong Liu, Ronald C. Kessler, Hong Yu

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Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201. by Shan Jiang, Zhaoqian Su, Nathaniel Bloodworth, Yunchao Liu, Cristina E Martina, David G Harrison, Jens Meiler

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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

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A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction by Twaha Ahmed Minai, Zubair Ahmed Shaikh, Asim Imdad Wagan, M. Kamran Azim, Syed Muhammad Muaz, Muhammad Shoaib Siddiqui

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Lymph Node Involvement Prediction Using Machine Learning: Analysis of Prostatic Nodule, Prostatic Gland, and Periprostatic Adipose Tissue (PPAT) by Eliodoro Faiella, Giulia D’amone, Raffaele Ragone, Matteo Pileri, Elva Vergantino, Bruno Beomonte Zobel, Rosario Francesco Grasso, Domiziana Santucci

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Global glomerulosclerosis proportions predict nephropathy progression in IgA nephropathy: a multicenter retrospective analysis with propensity score matching by Wenli Zou, Yueming Liu, Baihui Xu, Juan Wu, Wei Shen, Wei Zhang, Jiawei Zhang, Yao Meng, Yan Zhu, Jingting Yu, Jianguang Gong, Xiaogang Shen, Bin Zhu

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Ensemble ecological niche modeling of West Nile virus probability in Florida. by Sean P Beeman, Andrea M Morrison, Thomas R Unnasch, Robert S Unnasch

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The optimal choice of hydrodynamic models to assess the impact of climate change on the cryosphere by O. A. Anisimov, V. A. Kokorev

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Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning by Cuixia Liu, Meng Meng, Xian Luo

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COVID-19 Reporting and Data System (CO-RADS) for Assessment of Pulmonary Involvement and CT Severity Score in Predicting Disease Severity by Sadaf Tufail Butt, Muhammad Waseem Awan, Sana Farid, Hafsa Aziz, Wajiha Arshad, Mashkoor Ahmad

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LncRNA HOXA‐AS2 Can Predict the Risk of Acute Respiratory Distress Syndrome and 28‐Day Mortality in Patients With Sepsis by Youhong Quan, Song Gao

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Estimation and Prediction of Cereal Production Using Normalized Difference Vegetation Index Time Series (Sentinel-2) Data in Central Spain by César Sáenz, Alfonso Bermejo-Saiz, Víctor Cicuéndez, Tomás Pugni, Diego Madruga, Alicia Palacios-Orueta, Javier Litago

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Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures by Patrick G. Monaghan, Michael VanNostrand, Taylor N. Takla, Nora E. Fritz

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Selection of alfalfa water and nitrogen management regimes based on the DSSAT model by Mingzi Lv, Delong Tian, Guoshuai Wang, Ting Fan, Weiping Li, Chenli Hou, Jie Zhou, Xianyang Miao

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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

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Decision Tree Methodology (C4.5) for Predicting Students' Reading Interest in the Library SMK Negeri 1 Kota Cirebon by Muhammad Erwanto, Kosim Kosim, Nur Bambang Riyanto, Sukmo Banyu Jogo

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