000 03776cam a2200493Ki 4500
001 9781003032175
003 FlBoTFG
005 20220711212052.0
006 m o d
007 cr cnu---unuuu
008 210816t20222022flu o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781000431896
_qelectronic book
020 _a1000431894
_qelectronic book
020 _a9781003032175
_qelectronic book
020 _a1003032176
_qelectronic book
020 _a9781000431957
_q(electronic bk. : EPUB)
020 _a1000431959
_q(electronic bk. : EPUB)
020 _z0367457334
020 _z9780367457334
035 _a(OCoLC)1264072505
035 _a(OCoLC-P)1264072505
050 4 _aTK5105.8857
_b.D44 2022
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aTJKW
_2bicssc
082 0 4 _a004.678
_223
245 0 0 _aDeep Learning for Internet of Things Infrastructure /
_cedited by Uttam Ghosh [and 3 others].
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2022.
264 4 _c©2022
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThis book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aInternet of things.
_94027
650 0 _aMachine learning.
_91831
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
_98506
700 1 _aGhosh, Uttam,
_eeditor.
_912827
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003032175
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c70303
_d70303