Machine learning-based prediction of respiratory depression during sedation for liposuction by Jin-Woo Kim, Jae Hee Woo, Jaewon Seo, Hajin Kim, Sunho Lee, Younchan Park, Jaehyun Ahn, Seonghun Hong, Hye-Min Jeong, Yuncheol Kang

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A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning by K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana, C. T. Sabeerali

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Predicting the invasiveness of pulmonary adenocarcinoma using intratumoral and peritumoral radiomics features by Jingjing Hong, Liyang Yang, Jiekun Huo, Guoci Huang, Bowen Shan, Tingting Cai, Lianlian Zhang, Weikang Huang, Ge Wen

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Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas by Cosmina-Mihaela Rosca, Madalina Carbureanu, Adrian Stancu

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Interpretable Reinforcement Learning for Sequential Strategy Prediction in Language-Based Games by Jun Zhao, Jintian Ji, Robail Yasrab, Shuxin Wang, Liang Yu, Lingzhen Zhao

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Predicted deep-sea coral habitat suitability for the U.S. West coast. by John M Guinotte, Andrew J Davies

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Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery by Felix Wong, Aarti Krishnan, Erica J Zheng, Hannes Stärk, Abigail L Manson, Ashlee M Earl, Tommi Jaakkola, James J Collins

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Digital twin for real-time pressure vessels fatigue life prediction by Izat Khaled, Mohamed Bennebach, Dmytro Vasiukov, Modesar Shakoor, Salim Chaki

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Data-driven prediction and design of bZIP coiled-coil interactions. by Vladimir Potapov, Jenifer B Kaplan, Amy E Keating

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Assessing the Potential of Fecal NIRS for External Marker and Digestibility Predictions in Broilers by Oussama Tej, Elena Albanell, Ibtissam Kaikat, Carmen L. Manuelian

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Predicting Future Intrablock Links in Directed Networks Using Triadic Patterns by Lekshmi S. Nair, J. j

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Enhancing the Prediction of Dam Deformations: A Novel Data-Driven Approach by Jonas Ziemer, Gideon Stein, Carolin Wicker, Jannik Jänichen, Daniel Klöpper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois

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Predicting concrete strength using machine learning and fresh-state measurements by Bahdan Zviazhynski, Callum White, Janet M. Lees, Gareth J. Conduit

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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Predicting danceability and song ratings using deep learning and auditory features by Wei Wu

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Selecting reliable blockchain peers via hybrid blockchain reliability prediction by Peilin Zheng, Zibin Zheng, Liang Chen

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Employing the principal components in time series models and selecting the best models with Application by Rizgar Maghded Ahmed, Nida Salim Mala Younis

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Incorporating large language models as clinical decision support in oncology: the Woollie model by Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar

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Yoshida-Uemori model: Improvement of the elastic modulus evolutive model and Springback application by Lemoine Xavier

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Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods by Misaki Sasanami, Ibrahim Almou, Adam Nouhou Diori, Ana Bakhtiari, Nassirou Beidou, Donal Bisanzio, Sarah Boyd, Clara R. Burgert-Brucker, Abdou Amza, Katherine Gass, Boubacar Kadri, Fikreab Kebede, Michael P. Masika, Nicholas P. Olobio, Fikre Seife, Abdoul Salam Youssoufou Souley, Amsayaw Tefera, Amir B. Kello, Anthony W. Solomon, Emma M. Harding-Esch, Emanuele Giorgi

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