Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation by Beatriz Sanguino, Tongtong Wang, Guoyuan Li, Øyvind Kåre Kjerstad, Houxiang Zhang

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Using correlative science, open access big data and ensemble machine learning to track contamination signals in the wild: A first landscape-scale prediction for the Himalayan vultu... by Dikpal Krishna Karmacharya, Ganesh Puri, Ganga Ram Regmi, Madan Krishna Suwal, Falk Huettmann

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Pre-Treatment and Pre-Brachytherapy MRI first-order Radiomic Features by a Commercial software as survival predictors in radiotherapy for cervical cancer Objectives by Wiwatchai Sittiwong, Pittaya Dankulchai, Pitchayut Wongsuwan, Tissana Prasartseree, Wajana Thaweerat, Nerisa Thornsri, Pongpop Tuntapakul

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An examination of process models and model risk frameworks for pharmaceutical manufacturing by Thomas F. O'Connor, Sharmista Chatterjee, Johnny Lam, Dolores Hernán Pérez de la Ossa, Leticia Martinez-Peyrat, Marcel H.N. Hoefnagel, Adam C. Fisher

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Enhancing Healthcare With WBAN and Digital Twins: A Machine Learning Approach for Predictive Health Monitoring by Rishit Mahapatra, Deepak Sethi, Kaushik Mishra

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Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique by Giulia Anichini, Léo Mignot

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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

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Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance by Johannes C. Ayena, Johannes C. Ayena, Amina Bouayed, Amina Bouayed, Myriam Ben Arous, Myriam Ben Arous, Youssef Ouakrim, Youssef Ouakrim, Karim Loulou, Karim Loulou, Darine Ameyed, Isabelle Savard, Leila El Kamel, Neila Mezghani, Neila Mezghani

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Predicting cardiotoxicity in drug development: A deep learning approach by Kaifeng Liu, Huizi Cui, Xiangyu Yu, Wannan Li, Weiwei Han

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The Role of Spiritual Health and Social Support in Predicting Nurses’ Quality of Life by Seyedeh Azar Chavoshian, Babak Moeini, Saeed Bashirian, Javad Feradmal

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Neuroimaging and machine learning in eating disorders: a systematic review by Francesco Monaco, Annarita Vignapiano, Benedetta Di Gruttola, Stefania Landi, Ernesta Panarello, Raffaele Malvone, Stefania Palermo, Alessandra Marenna, Enrico Collantoni, Giovanna Celia, Valeria Di Stefano, Paolo Meneguzzo, Martina D’Angelo, Giulio Corrivetti, Luca Steardo

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Production Capacity Prediction for Tight Gas Reservoirs Based on ADASVRLGBM by MENG Sihai, ZHANG Zhansong, GUO Jianhong, HAN Zihao, ZENG Weijie, LYU Hengyang

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Female reproductive health trends and autism spectrum disorder prevalence between 2000 and 2024 by Adil Abdul-Rehman Siddiq Al-Salihy

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Influencia de la educación deportiva sobre la respuesta motivacional del alumnado de bachillerato: Una perspectiva de género (Influence of sport education on high school students’... by Rafael Burgueño, Belén Cueto-Martín, Esther Morales-Ortiz, Jesús Medina-Casaubón

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Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis by Min Bao, Jianqian Chao, Na Zhang, Yanqian Wu

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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

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Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review by Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal

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Applications of Artificial Intelligence in Drug Repurposing by Zhaoman Wan, Xinran Sun, Yi Li, Tianyao Chu, Xueyu Hao, Yang Cao, Peng Zhang

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A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

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