Results 21 to 30 of about 8,649,227 (275)
What Do We (Not) Know About Research Software Engineering?
Journal of Open Research Software, 2022 As recognition of the vital importance of software for contemporary research is increasing, Research Software Engineering (RSE) is emerging as a discipline in its own right.
Anna-Lena Lamprecht +15 more
doaj +1 more source
Increasing resolution in stress neurobiology: from single cells to complex group behaviors
Stress, 2023 Stress can have severe psychological and physiological consequences. Thus, inappropriate regulation of the stress response is linked to the etiology of mood and anxiety disorders.
Lucas Miranda +3 more
doaj +1 more source
Computational Science-based Research on Dark Matter at KISTI [PDF]
Journal of Astronomy and Space Sciences, 2017 The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space.
Kihyeon Cho
doaj +1 more source
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering [PDF]
Works, 2019 Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of data, scientists' expertise, tools, and workflows.
Renan Souza +12 more
semanticscholar +1 more source
Machine-Learning Methods for Computational Science and Engineering
De Computis, 2020 The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
M. Frank, D. Drikakis, V. Charissis
semanticscholar +1 more source
A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer
Journal of Astronomy and Space Sciences, 2021 The universe is well known to be consists of dark energy, dark matter and the standard model (SM) particles. The dark matter dominates the density of matter in the universe.
Kihong Park, Kihyeon Cho
doaj +1 more source
Perspective on integrating machine learning into computational chemistry and materials science. [PDF]
Journal of Chemical Physics, 2021 Machine learning (ML) methods are being used in almost every conceivable area of electronic structure theory and molecular simulation. In particular, ML has become firmly established in the construction of high-dimensional interatomic potentials.
Julia Westermayr +3 more
semanticscholar +1 more source
Frontiers in Physiology, 2018 Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic ...
Vanessa H. Pereira +7 more
doaj +1 more source
Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges [PDF]
, 2014 Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other ...
Bredereck, Robert +5 more
core +3 more sources
, 2018 Every new technology brings new opportunity for crime, and information and communication technology (ICT) is no exception. This short article offers students of crime insights in the two main connections between ICT and criminology. On the one hand we show how ICT can be used as a tool, target, or location of crime.
Hartel, P.H. (author) +1 more
openaire +6 more sources