000 03174cam a22005058i 4500
001 9781003246688
003 FlBoTFG
005 20240213122827.0
006 m o d
007 cr |||||||||||
008 220725s2023 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003246688
_q(ebook)
020 _a1003246680
020 _a9781000778687
_q(electronic bk.)
020 _a1000778681
_q(electronic bk.)
020 _a9781000778694
_q(electronic bk. : EPUB)
020 _a100077869X
_q(electronic bk. : EPUB)
020 _z9781032160009
_q(hardback)
020 _z9781032160023
_q(paperback)
020 _z1032160004
024 7 _a10.1201/9781003246688
_2doi
035 _a(OCoLC)1340038984
035 _a(OCoLC-P)1340038984
050 0 0 _aQH324.25
072 7 _aTEC
_x059000
_2bisacsh
072 7 _aCOM
_x059000
_2bisacsh
072 7 _aTJF
_2bicssc
082 0 0 _a570.285
_223/eng/20220808
245 0 0 _aArtificial intelligence technologies for computational biology /
_cedited by Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, A.L. Sangal.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2023.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _a"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"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xBiological applications.
650 0 _aComputational biology
_xData processing.
650 7 _aCOMPUTERS / Computer Engineering
_2bisacsh
700 1 _aRout, Ranjeet Kumar,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003246688
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5139
_d5139