Applied mathematics and nonlinear sciences 2022(aop) 1-12
HIGHLIGHTS who: Rui Lv and colleagues from the Eurasia University, Shaanxi, China have published the article: Applied Mathematics and Nonlinear […]
Computer_Science
Computer_Science
Computer_Science
A robust regime shift change detection algorithm for water-flow dynamics
HIGHLIGHTS who: Hatef Dastour et al. from the Department of Geomatics Engineering, University of Calgary, University Drive NW, Calgary, AB
Computer_Science
Exploring qsar models for activity-cliff prediction
HIGHLIGHTS who: Markus Dablander from the (UNIVERSITY) have published the paper: Exploring QSAR models for activity-cliff prediction, in the Journal:
Computer_Science
Disseminating stem subjects and ocean literacy through a bioinspired toolkit
HIGHLIGHTS who: Daniele Costa and colleagues from the Universitu00e0 Politecnica delle Marche, Ancona, Italy have published the research: Disseminating STEM
Computer_Science
Application of machine learning methods to correct the readings of low-cost air pollution sensors
HIGHLIGHTS who: Petrakova Viktoriya from the Of Computational Modeling, Akademgorodok, Krasnoyarsk, Russia have published the article: Application of Machine Learning
Computer_Science
A research toward chinese named entity recognition based on transfer learning
HIGHLIGHTS who: Hui Kang from the College of Computer Science and Technology, Jilin University, Changchun, China have published the research
Computer_Science
Predicting stellar mass accretion: an optimized echo state network approach in time series modeling
HIGHLIGHTS who: Version April and colleagues from the Department of Applied Mathematics, University of Western Ontario, London, ON, N A
Computer_Science
Clinical trial risk tool: software application using natural language processing to identify the risk of trial uninformativeness [version 1; peer review: awaiting peer review]
HIGHLIGHTS who: Competing interests No competing et al. from the Fast Data Science Ltd, London, England have published the paper:
Computer_Science
Original unedited manuscript
HIGHLIGHTS who: TE894 from the Department of Entomology, Center for Chemical Ecology, Center for Pollinator Research, Institutes of the Sciences,
Computer_Science
Detecting downhole vibrations through drilling horizontal sections: machine learning study
HIGHLIGHTS who: Ramy Saadeldin from the DepartmentKing Fahd University of have published the article: Detecting downhole vibrations through drilling horizontal