Engineering - Data processing.
Overview
Works: | 63 works in 23 publications in 23 languages |
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Titles
Fuzzy neural intelligent systems : = mathematical foundation and the applications in engineering /
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Problem solving and computation for scientists and engineers : = an introduction using C /
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Analytical, numerical, and computational methods for science and engineering /
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Digital computing and numerical methods: = with FORTRAN-IV, WATFOR and WATFIV programming
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Data analysis and statistics for geography, environmental science, and engineering /
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High performance computing in science and engineering '14 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 /
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Knowledge in the information society = Joint Conferences XII Communicative Strategies of the Information Society and XX Professional Culture of the Specialist of the Future /
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Liengme's guide to Excel 2016 for scientists and engineers = Windows and Mac /
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High Performance Computing in Science and Engineering `07 = Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2007 /
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Microprocessors and small digital computer systems for engineers and scientists /
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High performance computing in science and engineering '08 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2008 /
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Introduction to numerical programming : = a practical guide for scientists and engineers using Python and C/C++ /
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An introduction to MATLAB programming and numerical methods for engineers
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High performance computing in science and engineering'15 = transactions of the high performance computing center, stuttgart (HLRS) 2015 /
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High performance computing in science and engineering '16 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016 /
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Applications in electronics pervading industry, environment and society = APPLEPIES 2020 /
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Deep learning applications and intelligent decision making in engineering
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Handbook of research on engineering, business, and healthcare applications of data science and analytics
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Introduction to deep learning for engineers = using python and google cloud platform /
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Handbook of research on AI methods and applications in computer engineering
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