A Risk-Optimized Framework for Data-Driven IPO Underperformance Prediction in Complex Financial Systems by Mazin Alahmadi

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Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment by Vijendra Kumar, Kul Vaibhav Sharma, Nikunj K. Mangukiya, Deepak Kumar Tiwari, Preeti Vijay Ramkar, Upaka Rathnayake

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THE MATEMATICAL MODEL OF CLARIFYING PROCESSES FOR INDUSTRIAL WASTEWATERS by Miodrag IOVANOV

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Risk Factors of Severe Disease and Methods for Clinical Outcome Prediction in Patients with COVID-19 (Review) by S. V. Sokologorskiy, A. M. Ovechkin, I. V. Khapov, M. E. Politov, E. L. Bulanova

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Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization by Jing Quan, Yiwen Peng, Liyun Su

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Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

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Predicting mean depth and area fraction of Antarctic supraglacial melt lakes with physics-based parameterizations by Danielle Grau, Azeez Hussain, Alexander A. Robel

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DISTANCE- DEPENDENT COMPETITION INDICES FOR PREDICTING GROWTH OF Pinus brutia TEN. TREES IN ZAWEETA REGION

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Image-based yield prediction for tall fescue using random forests and convolutional neural networks by Sarah Ghysels, Bernard De Baets, Dirk Reheul, Steven Maenhout

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varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction by Lusiné Nazaretyan, Philipp Rentzsch, Martin Kircher

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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

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Assessment and Prediction of Salivary Gland Function After Head and Neck Radiotherapy: A Systematic Review by J. Le Guevelou, X. Palard‐Novello, E. Kammerer, M. Baty, M. Perazzi, A. Larnaudie, R. De Crevoisier, J. Castelli

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Wheat yield prediction in Andalucía using MERIS Terrestrial Chlorophyll Index (MTCI) time series by V. Egea-Cobrero, V. Rodriguez-Galiano, E. Sánchez-Rodríguez, M.A. García-Pérez

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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

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Predicting female football outcomes by machine learning: behavioural analysis of goals as high stress events by Aratz Olaizola, Ibai Errekagorri, Elsa Fernández, Julen Castellano, John Suckling, Karmele Lopez-de-Ipina

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Deep learning-based prediction of atrial fibrillation from polar transformed time-frequency electrocardiogram. by Daehyun Kwon, Hanbit Kang, Dongwoo Lee, Yoon-Chul Kim

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A data‐driven transient stability‐based approach for out‐of‐step prediction in power systems by Sirwan Shazdeh, Hêmin Golpîra, Hassan Bevrani

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Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement by Dimitris C. Gkikas, Prokopis K. Theodoridis

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Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training by Kohei Noda, Araki Wakiuchi, Yoshihiro Hayashi, Ryo Yoshida

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Fatigue life predictions of carbon fiber reinforced plastic in specimens of double-shear bolted joint by V. E. Strizhius

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