Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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Enabling high-throughput quantitative wood anatomy through a dedicated pipeline by Jan Van den Bulcke, Louis Verschuren, Ruben De Blaere, Simon Vansuyt, Maxime Dekegeleer, Pierre Kibleur, Olivier Pieters, Tom De Mil, Wannes Hubau, Hans Beeckman, Joris Van Acker, Francis wyffels

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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

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Nonlinear compressive reduced basis approximation for PDE’s by Cohen, Albert, Farhat, Charbel, Maday, Yvon, Somacal, Agustin

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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

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RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

Subjects: “…Deep Reinforcement Learning…”
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An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems by Yi-ming Li, Jia-long Tian, Zhou-hua Jiang

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Application of Fuzzy System on Settlement of Shallow Footing on Granular Soil by Soroush Lesani

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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

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Editorial: Computer vision and image synthesis for neurological applications by Chenglong Zou, Chenglong Zou, Chenglong Zou, Shounak Roychowdhury, Saim Rasheed, Raza Ali

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Breaking barriers in STEAM education: Analyzing competence acquisition through project-based learning in a European context by Paula García-Llamas, Angela Taboada, Patricia Sanz-Chumillas, Luísa Lopes Pereira, Roberto Baelo Álvarez

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Insights into simulation-based learning: student and faculty experiences in a PharmD program in Saudi Arabia by Reem Binsuwaidan, Najla A. Altwaijry, Alnada A. Ibrahim, Rawan A. Alghamdi, Razan Bin Humaid, Alaa A. AlSharif, Alaa A. AlHubaishi, Elshaymaa I. Elmongy, Lina I. Alnajjar, Ghadah H. Alshehri

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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

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LISTENING AND SPEAKING SKILLS AS LEARNING AND TARGET NEEDS IN BUSINESS ENGLISH PROGRAM FOR TOUR GUIDE DIPLOMA STUDENTS IN KENYA. by Douglas Ondara Orang'i

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Student Perspectives on International Collaborative Courses Leading to Micro-Credentials: DigiProf Case by Estela Daukšienė, Giedrė Tamoliūnė, Airina Volungevičienė, Elena Trepulė

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Estimating regional shared trailer demand in drop-and-pull transport by Mei Feng, Qianwei Peng, Zhixue Zhao

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Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs by Thiago Fellipe Ortiz de Camargo, Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro Rodrigues da Silva, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva

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Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

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