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001 9781003321149
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008 230101s2023 flu ob 001 0 eng
020 _a9781003321149
_q(ebook)
020 _a1003321143
020 _a9781000879094
_q(electronic bk. : EPUB)
020 _a1000879097
_q(electronic bk. : EPUB)
020 _a9781000879070
_q(electronic bk. : PDF)
020 _a1000879070
_q(electronic bk. : PDF)
020 _z9781032342412
_q(hardback)
020 _z9781032342429
_q(paperback)
024 7 _a10.1201/9781003321149
_2doi
035 _a(OCoLC)1371776969
035 _a(OCoLC-P)1371776969
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
050 0 0 _aT59.6
072 7 _aBUS
_x070030
_2bisacsh
072 7 _aTEC
_x061000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aUB
_2bicssc
082 0 0 _a658.4/030285
_223/eng/20230302
245 0 0 _aIntelligent analytics for industry 4.0 applications /
_cedited by: Avinash Chandra Pandey, Abhishek Verma, Vijaypal Singh Rathor, Munesh Singh and Ashutosh Kumar Singh.
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
505 0 _aAnalytics approach for intelligent cyber-physical system integration in industrial internet of things (industry 4.0) / Lukman Adewale Ajao and Simon T. Apeh -- Digital twins : a state of the art from industry 4.0 perspective / Deiva Ganesh A And Kalpana P -- Human-centered approach to intelligent analytics in industry 4.0 / Varad Vishwarupe, Milind Pande, Vishal Pawar, Prachi Joshi, Aseem Deshmukh, Shweta Mhaisalkar, Nicole Mathias, Shrey Maheshwari and Neha Mandora -- Advance in robotics industry 4.0 / Muchharla Suresh, Rajesh Kumar Dash, Deepika Padhy, Swastid Dash, Subhransu Kumar Das, and K Nageswara Rao Achary -- A cloud-based real-time healthcare monitoring system for CVD patients / Anjali Kumari, Animesh Kumar, Kanishka Vijayvargiya, Piyush Goyal, Ujjwal Tripathi and Avinash Chandra Pandey -- Assessment of fuzzy logic assessed recommender system: A critical critique / S Gopal Krishna Patro, Brojo Kishore Mishra and Sanjaya Kumar Panda -- Intelligent analytics in big data and cloud / K Aditya Shastry and Manjunatha B A -- Various audio classification models for automatic speaker verification system in industry 4.0 / Sanil Joshi, Mohit Dua and Shelza Dua -- Trending IoT platforms on middleware layer / Neha Katiyar, Surabhi Sakhshi, Priti Kumari and Jyoti Srivastava -- Healthcare IoT: a factual and feasible application of industrial IoT / Subasish Mohapatra, Amlan Sahoo, Munesh Singh and Subhadarshini Mohanty -- IoT based spacecraft anti-collision HUD design formulation / Bibhorr -- Coverage of LoRaWAN in Vijayawada: a practical approach / P. Saleem Akram and M Lakshmana -- Intelligent health care industry for disease detection / Ishaan Deep, Payaswini Singh, Aditi Trishna, Sanskar, Biswa Ranjan Senapati and Rakesh Ranjan Swain -- Challenges with industry 4.0 security / Mohit Sajwan and Simranjit Singh -- Dodging security attacks and data leakage prevention for cloud and IoT environments / Ishu Gupta, Ankit Tiwari, Priya Agarwal, Sloni Mittal and Ashutosh Kumar Singh -- Role of blockchain in industry 4.0 / Keshav Kaushik and Bhavana Kaushik -- Blockchain and bitcoin security in industry 4.0 / Yadunath Pathak and Praveen Pawar -- Technology in industry 4.0 / Rashmy Moray and Amar Patnaik -- Intelligent analytics in cyber physical systems / Manjushree Nayak, Priyanka P Pratihari, Sanjana Mahapatra and Shyam Sundar Pradhan -- An overlook on security challenges in industry 4.0 / Ramya. R, S. Sharmila Devi and Y. Adline Jancy.
520 _a"The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and Artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive sub-domains. To this end, the book will aim to review and highlight the challenges faced by Intelligent Analytics in Industry 4.0 and present the recent developments done to address those challenges"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aIndustry 4.0.
650 0 _aDecision making
_xData processing.
650 7 _aBUSINESS & ECONOMICS / Industries / Computer Industry
_2bisacsh
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
700 1 _aPandey, Avinash Chandra,
_eeditor.
700 1 _aVerma, Abhishek
_c(Professor of computer science),
_eeditor.
700 1 _aRathor, Vijaypal Singh,
_eeditor.
700 1 _aSingh, Munesh,
_eeditor.
700 1 _aSingh, Ashutosh Kumar,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003321149
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _2ddc
_cE
999 _c16005
_d16005