000			03701cam a22005657i 4500
001			9781003286745
003			FlBoTFG
005			20240213122827.0
006			m o d
007			cr cnu---unuuu
008			221206s2022 flu ob 001 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003286745 _q(electronic bk.)
020			_a1003286747 _q(electronic bk.)
020			_a9781000828870 _q(electronic bk. : EPUB)
020			_a1000828875 _q(electronic bk. : EPUB)
020			_a9781000828832 _q(electronic bk. : PDF)
020			_a1000828832 _q(electronic bk. : PDF)
020			_z9781032261447
020			_z1032261447
024	7		_a10.1201/9781003286745 _2doi
035			_a(OCoLC)1353293178
035			_a(OCoLC-P)1353293178
050		4	_aTS183
072		7	_aCOM _x059000 _2bisacsh
072		7	_aTEC _x008000 _2bisacsh
072		7	_aTEC _x020000 _2bisacsh
072		7	_aTJF _2bicssc
082	0	4	_a670 _223
245	0	0	_aIntelligent systems and machine learning for industry : _badvancements, challenges and practices / _cedited by P.R Anisha, C. Kishor Kumar Reddy, Nguyen Gia Nhu, Megha Bhushan, Marlia Mohd Hanafiah.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_a1 online resource (1 volume)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aComputational methods for industrial applications
520			_aThe book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. Provides thelatest methodologies using machine intelligence systems in the early forecasting of weather. Examines the research challenges and identifies the gaps in data collection anddata analysis, especially imagery, signal, and speech. Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aManufacturing processes _xTechnological innovations.
650		0	_aMachine learning _xIndustrial applications.
650		0	_aMedical technology _xAutomation.
650		0	_aAgricultural processing _xAutomation.
650		0	_aEnvironmental engineering _xAutomation.
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh
650		7	_aTECHNOLOGY / Electronics / General _2bisacsh
650		7	_aTECHNOLOGY / Manufacturing _2bisacsh
700	1		_aAnisha, P. R., _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003286745
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5217 _d5217