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books
| book details |
Artificial Intelligence Technologies for Computational Biology
Edited by Ranjeet Kumar Rout, Edited by Saiyed Umer, Edited by Sabha Sheikh, Edited by Amrit Lal Sangal
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normal price: R 2 143.95
Price: R 1 928.95
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| book description |
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.
| product details |

Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 4 Oct 2024
Language |
Format | Paperback / softback
Pages | 324
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 540g
ISBN | 978-1-0321-6002-3
Readership Age |
BISAC |
| other options |

Normally shipped |
Readership Age |
Normal Price | R 2 624.95
Price | R 2 362.95
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Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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