HIGHLIGHTS who: Boris Jidovtseff et al. from the Department of Sport and Rehabilitation Sciences, Research Unit for a Life-Course Perspective […]
HIGHLIGHTS SUMMARY The paper uses three machine_learning methods-artificial neural_network (ANN), random forest (RF), and XG-boost-to systematically identify the important factors;
HIGHLIGHTS who: Viktu00f3ria Molnu00e1r and collaborators from the Department of Otolaryngology and Head and Neck Surgery, Semmelweis University, have published
HIGHLIGHTS who: Alexandra Csapai et al. from the Materials Engineering Department, Technical University of, Muncii Ave have published the article:
HIGHLIGHTS who: M. A. Pisauro from the Participants The study complied with all relevant ethical regulationsThe study protocol was approved
HIGHLIGHTS who: Chetana Dahal and collaborators from the for Environmental Health (GmbH), Ingolstu00e4dter Landstr1, Neuherberg, Germany Epidemiology, Faculty of Medicine,
HIGHLIGHTS who: Tayfun Uyanu0131k and collaborators from the Center for Research on Microgrids, AAU Energy, Aalborg University, Aalborg, Denmark have
HIGHLIGHTS who: Mohamed Sabry and colleagues from the (AMPL), Universidad Carlos III de Madrid (UC M), Leganes, Spain have published
HIGHLIGHTS who: Mohammad Hijji and colleagues from the Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia
HIGHLIGHTS who: Da Wang and colleagues from the School of Engineering, Anhui Agricultural University, Hefei, China have published the paper: