An operational image-based digital twin for large-scale structures
HIGHLIGHTS who: Hans-Henrik Benzon et al. from the Department of Wind Energy, Technical University of Denmark, Frederiksborgvej , have published […]
Computer_Science
Computer_Science
Computer_Science
Physically sound, self-learning digital twins for sloshing fluids
HIGHLIGHTS who: Beatriz Moya and collaborators from the Aragon Institute of Engineering Research (I A), Universidad de Zaragoza, Zaragoza, Spain,
Computer_Science
Detection of primary sjögren’s syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning
HIGHLIGHTS who: Jesper T. Dros from the Institute for Health Services Research (NIVEL), Utrecht, the have published the paper: Detection
Computer_Science
Genetic algorithms for soft decision decoding of linear block codes
HIGHLIGHTS who: Harpal Maini and colleagues from the University have published the Article: Genetic Algorithms for Soft Decision Decoding of
Computer_Science
Simultaneous conjugate ground-satellite ulf pulsation measurements at the middle latitudes
HIGHLIGHTS who: K. Prikner from the Geophysical Institute, Academy of Science of the Czech Republic Prague, BocÏnõÂ II, Praha, SporÏ
Computer_Science
V
HIGHLIGHTS who: RESUMO et al. from the Universidade Federal do Triângulo Mineiro, Uberaba, MG, Brazil have published the research work:
Computer_Science
Predicting task-general mind-wandering with eeg
HIGHLIGHTS who: Christina Yi Jin and colleagues from the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of
Computer_Science
An exploratory meta-analytic review on the empirical evidence of differential learning as an enhanced motor learning method
HIGHLIGHTS who: Bruno Tassignon from the Polytechnic Institute of Maia, Portugal, (KIT), Germany have published the paper: An Exploratory Meta-Analytic
Computer_Science
Identification of catchment functional units by time series of thermal remote sensing images
HIGHLIGHTS who: Hydrol. Earth Syst. Sci. et al. from the Institute of Water Management, and, University of Natural Resources and
Computer_Science
Frequency domain compressive sampling for ultrasound imaging
HIGHLIGHTS who: Céline Quinsac and colleagues from the University of Toulouse, IRIT UMR , CNRS, Toulouse , France have published