Results 1 to 10 of about 1,248,643 (118)
Overview: Computer vision and machine learning for microstructural characterization and analysis [PDF]
Metallurgical and Materials Transactions. A, 2020 The characterization and analysis of microstructure is the foundation of microstructural science, connecting the materials structure to its composition, process history, and properties.
Cohn, Ryan +6 more
core +2 more sources
REFORMS: Reporting Standards for Machine Learning Based Science [PDF]
arXiv.org, 2023 Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability.
Sayash Kapoor +18 more
semanticscholar +1 more source
A theory of consciousness from a theoretical computer science perspective: Insights from the Conscious Turing Machine [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance This paper provides evidence that a theoretical computer science (TCS) perspective can add to our understanding of consciousness by providing a simple framework for employing tools from computational complexity theory and machine learning ...
L. Blum, M. Blum
semanticscholar +1 more source
Machine Learning: Algorithms, Real-World Applications and Research Directions
SN Computer Science, 2021 In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc.
Iqbal H. Sarker
semanticscholar +1 more source
Machine learning, meaning making: On reading computer science texts
Big Data & Society, 2023 Computer science tends to foreclose the reading of its texts by social science and humanities scholars – via code and scale, mathematics, black box opacities, secret or proprietary models.
Louise Amoore +3 more
semanticscholar +1 more source
Machine-Learning Interatomic Potentials for Materials Science [PDF]
Social Science Research Network, 2021 Large-scale atomistic computer simulations of materials rely on interatomic potentials providing computationally efficient predictions of energy and Newtonian forces. Traditional potentials have served in this capacity for over three decades. Recently, a
Y. Mishin
semanticscholar +1 more source
Data-driven science and machine learning methods in laser–plasma physics [PDF]
High Power Laser Science and Engineering, 2022 Laser-plasma physics has developed rapidly over the past few decades as lasers have become both more powerful and more widely available. Early experimental and numerical research in this field was dominated by single-shot experiments with limited ...
A. Döpp +5 more
semanticscholar +1 more source
International Journal of Environmental Research and Public Health, 2022 Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate.
Liton Devnath +6 more
semanticscholar +1 more source
Knowledge-Based Systems, 2022 Science communication has a number of bottlenecks that include the rising number of published research papers and its non-machine-accessible and document-based paradigm, which makes the exploration, reading, and reuse of research outcomes rather ...
D. Dessí +4 more
semanticscholar +1 more source
Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case [PDF]
, 2018 Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use of this new ...
A. J. Connolly +33 more
core +2 more sources