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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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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Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction by Zhen-Yao Chen

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Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers by Yen-Chung Lin, Mai-Szu Wu, Chung-Yi Cheng, Cai-Mei Zheng, Chia-Te Liao, Ting-Wei Chang, Chang-Yu Tsai, Zhen-Yi Tang, Che-Chou Shen

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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis by Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, Abbas Omidi, Sadaf Raoufi, Mahsa Rajabi, Mohammad Esmaeil Akbari, Mehrad Aria

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Pressure Injury Prediction in Intensive Care Units Using Artificial Intelligence: A Scoping Review by José Alves, Rita Azevedo, Ana Marques, Rúben Encarnação, Paulo Alves

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Leveraging genomics and temporal high‐throughput phenotyping to enhance association mapping and yield prediction in sesame by Idan Sabag, Ye Bi, Maitreya Mohan Sahoo, Ittai Herrmann, Gota Morota, Zvi Peleg

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