Intro-Computer Applications
Rawlings, Josiah · The Research Repository @ WVU (West Virginia University) · 2018
Cited by 0
Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.
About 10,000 papers for “Computer Applications”
Rawlings, Josiah · The Research Repository @ WVU (West Virginia University) · 2018
Cited by 0
Waldemar Bauer, D L Gerlough, Jennifer Granholm · Proceedings of the IRE · 1961
This paper views applications which hold a promise of becoming important commercially, as well as many which are simply interesting and unusual. A number of important applications are appearing such as language translation, the computer as an aid in medical diagnosis and applications in the fields of education, music and history. Applications in government vary from a proposed simulation of emergency duties of the President of the United States to the evaluation by computers of bids for government contracts. Other applications include computer control of railroads, steamships and space vehicle tracking. Computers in communications are being used in speech compression and message switching. Computers in automobile traffic control show promise. Industrial process control on a large scale is also promising. In addition to a general applications survey, this report describes four application areas in some detail: communications, automobile trafflic control, language translation, and industrial process control.
Cited by 10
H. Lee Hales · 2020
Cited by 0
N. Ahmad, Bhagalpur India, S. M. K Quadri et al. · 2011
This study aims to compare the predictive capability of two popular software reliability growth models (SRGM), say exponential growth and inflection S-shaped growth models. We first review the exponentiated Weibull (EW) testing-effort functions and discuss exponential type and inflection S-shaped type SRGM with EW testing-effort. We then analyzed the actual data applications and compare the predictive capability of these two SRGM graphically. The findings reveal that inflection S-shaped type SRGM has better prediction capability as compare to exponential type SRGM.
Cited by 0
R.A. Ganderton · Computer-Aided Design · 1970
Cited by 12
Jacques Calmet, J. A. van Hulzen · Computing. Supplementum · 1982
Cited by 5
Milton Siegel, Benjamin Mittman, Andrew Ungar · Mathematics of Computation · 1962
Cited by 3
Weaver, Amy P · The Research Repository @ WVU (West Virginia University) · 2022
Cited by 0
Powell, Brian · The Research Repository @ WVU (West Virginia University) · 2022
Cited by 0
Hakikur Rahman · 2013
With presumptions that e-government theories prevail in various formats and concepts around the globe, nations and institutions, not many examples are there to emulate in terms of developing a framework of e-governance system at the outer periphery of the government tiers. However, surprisingly till date most of the e-government programs in the country of implementation, or e-government research at the research institution could not be taken as granted, and foremost many of them could not come out as a major accomplishment. This research would like to carry out a comprehensive analysis on various theories built around the e-governance concept, and put forward a future e-government system at the local government level.
Cited by 0
Ahmed Fathi Bekhit · Apress eBooks · 2021
This chapter will focus on what Augmented Reality is, the evolution of the technology, its different applications, and how to set up a C++ vision application.
Cited by 0
Saifi, Mohammad H · The Research Repository @ WVU (West Virginia University) · 2019
Cited by 0
2006
Cited by 0
2010
Cited by 0
E. Miller, J. Landt, F.J. Deadrick et al. · 2005
Cited by 11
Xu Jiang · Creativity and Innovation · 2024
Computer graphics and image technology not only possess a high degree of professionalism but also play an indispensable role in daily life and overall social progress. This technology can simplify complex operations, allowing people to easily observe and explore. Especially in situations requiring the handling of a large number of images, fully leveraging its potential can lead to more efficient image processing, thereby significantly enhancing work efficiency.KEYWORDSComputer Graphics; Image Processing; Application Fields
Cited by 0
Ralph S. Horvath · Computers in Biology and Medicine · 1973
Cited by 1
Elizabeth M. Donley · Environmental Software · 1989
Cited by 0
James V. Lustig, Jessie R. Groothuis · Advances in Pediatrics · 1984
Cited by 1
Di Capite, JDC · EdShare Southampton (University of Southampton)
Cited by 0