國立虎尾科技大學 |

Intelligent analytics for industry 4.0 applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent analytics for industry 4.0 applications // edited by Avinash Chandra Pandey ... [et al.]
其他作者:	Pandey, Avinash Chandra.
出版者:	Boca Raton, FL :CRC Press, : c2023.,
面頁冊數:	xvii, 294 p. :ill. ; : 25 cm.;
標題:	Industry 4.0. -
ISBN:	9781032342412 (hbk.) :

Intelligent analytics for industry 4.0 applications /
Intelligent analytics for industry 4.0 applications /edited by Avinash Chandra Pandey ... [et al.] - 1st ed. - Boca Raton, FL :CRC Press,c2023. - xvii, 294 p. :ill. ;25 cm.

Includes bibliographical references and index.

Analytics 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.

"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"--

ISBN: 9781032342412 (hbk.) :NT4186Subjects--Topical Terms:

1083640
Industry 4.0.

LC Class. No.: T59.6

Dewey Class. No.: 658.403

Intelligent analytics for industry 4.0 applications /
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020 $a 9781032342429 (pbk.)
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245 0 0 $a Intelligent analytics for industry 4.0 applications / $c edited by Avinash Chandra Pandey ... [et al.]
250 $a 1st ed.
260 # $a Boca Raton, FL : $b CRC Press, $c c2023.
300 $a xvii, 294 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Analytics 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"-- $c Provided by publisher.
650 # 0 $a Industry 4.0. $3 1083640
650 # 0 $a Decision making $x Data processing. $3 568242
700 1 # $a Pandey, Avinash Chandra. $3 1451836