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008220818s2023 flu ob 001 0 eng
010 ▼a 2022036466
019 ▼a 1392081852
020 ▼a 9781003260455 ▼q (ebk)
020 ▼a 1003260454
020 ▼a 9781000829747 ▼q (electronic bk.)
020 ▼a 100082974X ▼q (electronic bk.)
020 ▼z 9781032186993 ▼q (hbk)
020 ▼z 9781032197074 ▼q (pbk)
035 ▼a 3585532 ▼b (N$T)
035 ▼a (OCoLC)1347375328 ▼z (OCoLC)1392081852
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d N$T ▼d 248032
042 ▼a pcc
049 ▼a MAIN
05000 ▼a TC409
08200 ▼a 628.10285/63 ▼2 23/eng/20221012
24500 ▼a Artificial Intelligence and modeling for water sustainability : ▼b global challenges / ▼c edited by Alaa El Din Mahmoud, Manal Fawzy, and Nadeem Ahmad Khan.
250 ▼a First edition.
264 1 ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c 2023.
300 ▼a 1 online resource
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a "With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book helps governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain a better insight into the implementation of more effective remedial measures."-- ▼c Provided by publisher.
588 ▼a Description based on print version record and CIP data provided by publisher.
590 ▼a OCLC control number change
650 0 ▼a Water resources development ▼x Data processing.
650 0 ▼a Water-supply ▼x Data processing.
650 0 ▼a Artificial intelligence ▼x Industrial applications.
650 0 ▼a Sustainable engineering.
7001 ▼a Mahmoud, Alaa El Din, ▼e editor.
77608 ▼i Print version : ▼t Artificial Intelligence and modeling for water sustainability ▼b First edition. ▼d Boca Raton : CRC Press, Taylor & Francis Group, 2023 ▼z 9781032186993 ▼w (DLC) 2022036465
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3585532
938 ▼a EBSCOhost ▼b EBSC ▼n 3585532
990 ▼a 관리자
994 ▼a 92 ▼b N$T