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To overcome some of this limitation, operating systems use virtual memory, one of many computing techniques developed during the late 1950s under the direction of Tom Kilburn at the University of Manchester, England.
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Soft computing techniques have recently been widely used to model some of human activities in many areas of civil engineering applications.
There are many stochastic soft computing techniques available to solve this inverse problem.
It is also argued that the overall architecture of an "intelligent finite element package" can serve as a "test-bed" for many soft-computing techniques.
In recent years, with the rapid development of computer hardware and machine learning, soft computing techniques have been applied in many engineering disciplines, including indirect measurement of multiphase flow.
Although it is consisting of many chapters and subtitles dealing with detailed computing techniques and experimental methodologies, a diversity of attempts have been made to bring together descriptions of bioinformatics, biological basics, detailed experimental methodologies and computing algorithm for understanding biological complexes.
In the recent years, the soft computing techniques are increasingly applied in many fields of civil engineering due to their capabilities in computation and knowledge processing.
The rail transportation industry has many problems that can be modeled by mathematical programming and solved using soft computing techniques.
Biotech is one of today's many hot frontiers of technology, but one thing holding it back is that it's significantly less amenable to traditional computing techniques than other areas.
Like many fields of science, astronomy has become digitized and data rich in recent years, making it an ideal proving ground for advanced computing techniques in data mining, visualization and searching.
The two basic soft computing techniques are fuzzy computing and probabilistic computing.
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