Forecast the in uenza pandemic using machine learning
HIGHLIGHTS who: Tech Science Press and colleagues from the Department of Computer, Lahore Garrison University, Lahore, Pakistan Computer Department, Umm […]
Computer_Science
Computer_Science
Computer_Science
314.48 (приволжский)
HIGHLIGHTS who: u044du043au043eu043du043eu043cu0438u0447u0435u0441u043au0438u0435 u043du0430u0443u043au0438 and collaborators from the Volga State University of have published the paper: 314.48 (u041fu0440u0438u0432u043eu043bu0436u0441u043au0438u0439), in the
Computer_Science
A predictive multimodal framework to alert caregivers of problem behaviors for children with asd (premac)
HIGHLIGHTS who: Zhaobo K. Zheng et al. from the Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA have published
Computer_Science
K-means and bayesian networks to determine building
HIGHLIGHTS who: uf06e and collaborators from the Department of Mathematics, Universitas Gadjah Mada, Yogyakarta, Indonesia have published the article: K-means
Computer_Science
Hair analysis for detection of triptans occasionally used or overused by migraine patients — a pilot study
HIGHLIGHTS who: Medication-overuse headache . ROC et al. from the Forensic Toxicology Laboratory, Department of Diagnostic Medicine, University of Modena
Computer_Science
Architecture design for a multi-sensor information
HIGHLIGHTS who: uf06e and colleagues from the School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Ganeca St, Bandung, Indonesia
Computer_Science
Dynamic load-balancing vertical control for a large-scale software-defined internet of things
HIGHLIGHTS who: XIAOXUN ZHONG and collaborators from the Application, College of Information Science and Engineering, Hunan Normal University, Changsha, China
Computer_Science
Image tampering detection using genetic algorithm
HIGHLIGHTS who: Agarwal Ritu and Pant Mallika from the Department of Information Technology, Delhi Technological University, New Delhi, India have
Computer_Science
Comparative analysis of the cox semi-parametric and weibull parametric models on colorectal cancer data
HIGHLIGHTS who: Usman Umar and Marafa Haliru Muhammad from the Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria have published
Computer_Science
Multi-view programming learning to obtain interpretable classifiers for semi-supervised contexts
HIGHLIGHTS who: Rule-based classification and colleagues from the Computing and Numerical Analysis Department, University of Cu00f3rdoba, Cu00f3rdoba, Spain have published