Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies by Collince Omondi Awere, Kasinathan Rakkammal, Andaç Batur Çolak, Mustafa Bayrak, Ogolla Fredrick, Valentine Chikaodili Anadebe, Manikandan Ramesh

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Learning Chemical Intuition: From Molecular Models to Neural Networks by Magdalena Lederbauer

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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

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Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin

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Prognostic aspects of modeling hemogram parameters dynamics at iron-deficient erythropoiesis correction by I. B. Baranovskaya, S. A. Onishchuk

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A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

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Enhanced Neutrosophic Set and Machine Learning Approach for Kidney Disease Prediction by Humam M Al-Doori, Tareef S Alkellezli, Ahmed Abdelhafeez, Mohamed Eassaa, Mohamed S. Sawah, Ahmed A El-Douh

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Machine Learning-Based Model for Emergency Department Disposition at a Public Hospital by Savaş Sezik, Mustafa Özgür Cingiz, Esma İbiş

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Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

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Dog and Guardian Relationships: Application of a Dual-Process Actor–“Partner” Interdependence Model to Predict Regular Walking by Sarah B. E. Hough, Chris A. Graham, Alfred S. Y. Lee, Ryan E. Rhodes

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Exploring predictors of insomnia severity in shift workers using machine learning model by Hyewon Yeo, Hyeyeon Jang, Nambeom Kim, Sehyun Jeon, Yunjee Hwang, Chang-Ki Kang, Seog Ju Kim, Seog Ju Kim

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An improved model-free predictive voltage control for grid-forming inverter with adaptive ultra-local data-model in renewable energy system by Yifu Lin, Junwei Zhu, Feng He

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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

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P-18 ANTI-HBC POSITIVITY IS AN INDEPENDENT PREDICTIVE FACTOR FOR HCC DEVELOPMENT AND SHOULD BE INCORPORATED TO THE HCC RISK SCORE PREDICTION MODEL IN ADVANCED FIBROSIS by Marcus Vinicius de Acevedo Garcia Gomes, Diogo Delgado Dotta, Manuella Andrade Oliveira Sobral, Isabela Bodaczny Taliberti, Alexandre Belucci Trazzi, Eduardo Pombo Nascimento, Betania da Silva Rocha, Patricia Momoyo Yoshimura Zitelli, Rosa Maria Nascimento Marcusso, Mario Guimaraes Pessoa

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Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation by Hyun Bin Kim, Hong Qi Tan, Wen Long Nei, Ying Cong Ryan Shea Tan, Yiyu Cai, Fuqiang Wang

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Machine learning center-specific models show improved IVF live birth predictions over US national registry-based model by Mylene W. M. Yao, Elizabeth T. Nguyen, Matthew G. Retzloff, L. April Gago, John E. Nichols, John F. Payne, Barry A. Ripps, Michael Opsahl, Jeremy Groll, Ronald Beesley, Gregory Neal, Jaye Adams, Lorie Nowak, Trevor Swanson, Xiaocong Chen

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Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development by Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks

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A simple quantitative model for the prediction of exposure of renally excreted drugs in pregnant women: a comparison with whole body PBPK model by Iftekhar Mahmood

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Prediction Models for Late-Onset Preeclampsia: A Study Based on Logistic Regression, Support Vector Machine, and Extreme Gradient Boosting Models by Yangyang Zhang, Xunke Gu, Nan Yang, Yuting Xue, Lijuan Ma, Yongqing Wang, Hua Zhang, Keke Jia

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Trajectory prediction of human-driven vehicles on the basis of risk field theory and interaction multiple models by Zhaojie Wang, Guangquan Lu, Jinghua Wang, Haitian Tan, Renjing Tang

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