Results 11 to 20 of about 972,693 (262)

Innovations in Computing Sciences and Software Engineering [PDF]

, 2010
Innovations in Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.
Khaled M. Elleithy, Tarek M. Sobh
openaire   +2 more sources

Quantum Computing for Data Centric Engineering and Science [PDF]

, 2022
In this perspective I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science. I focus on quantum Monte Carlo integration as a likely source of (relatively) near-term quantum advantage, but also discuss some other ideas that have garnered wide-spread interest.
arxiv   +1 more source

Utilizing Online and Open-Source Machine Learning Toolkits to Leverage the Future of Sustainable Engineering [PDF]

arXiv, 2023
Recently, there has been a national push to use machine learning (ML) and artificial intelligence (AI) to advance engineering techniques in all disciplines ranging from advanced fracture mechanics in materials science to soil and water quality testing in the civil and environmental engineering fields.
arxiv  

Engineering Education in the Age of Autonomous Machines [PDF]

arXiv, 2021
In the past few years, we have observed a huge supply-demand gap for autonomous driving engineers. The core problem is that autonomous driving is not one single technology but rather a complex system integrating many technologies, and no one single academic department can provide comprehensive education in this field.
arxiv  

QRMW: Quantum representation of multi wavelength images [PDF]

Turkish Journal of Electrical Engineering and Computer Sciences, 26(2), 768-779 (2018), 2018
In this study, we propose quantum representation of multi wavelength images (QRMW) which gives preparation and retrieving procedures of quantum images. Proposed QRMW model represents multi-channel and 2^n x 2^m images. Also, we present image comparison and some image operations based on QRMW model.
arxiv   +1 more source

Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions [PDF]

arXiv, 2021
Artificial Intelligence (AI) is now entering every sub-field of science, technology, engineering, arts, and management. Thanks to the hype and availability of research funds, it is being adapted in many fields without much thought. Computational Science and Engineering (CS&E) is one such sub-field.
arxiv  

Integration strategies for Computational Science & Engineering software [PDF]

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering, 2009
In order to make significant progress in solving challenging problems in Computational Science & Engineering (CS&E), we need to integrate a large amount of software written by different groups of experts. Modern Lean/Agile methodologies would seem to provide a good foundation for research-driven development of complex CS&E software.
openaire   +2 more sources

The assertive profile of the Bulgarian students in computer science and computer engineering [PDF]

I.J. Education and Management Engineering, 2014, 1, 1-8, 2014
Different points of view on the nature and content of the assertiveness are followed in this paper. The main purpose is to study the assertive profile of Bulgarian students in computer science and computer engineering by analyzing the components of assertiveness. Research was performed using testing methods.
arxiv   +1 more source

Massive Computation for Understanding Core-Collapse Supernova Explosions [PDF]

Computing in Science & Engineering, vol.18, no. 5, pp. 78-92, Sept.-Oct. 2016, 2016
How do massive stars explode? Progress toward the answer is driven by increases in compute power. Petascale supercomputers are enabling detailed three-dimensional simulations of core-collapse supernovae. These are elucidating the role of fluid instabilities, turbulence, and magnetic field amplification in supernova engines.
arxiv   +1 more source

Automatic Differentiation for Inverse Problems with Applications in Quantum Transport [PDF]

arXiv, 2023
A neural solver and differentiable simulation of the quantum transmitting boundary model is presented for the inverse quantum transport problem. The neural solver is used to engineer continuous transmission properties and the differentiable simulation is used to engineer current-voltage characteristics.
arxiv