1st Edition

Intelligent Analytics for Industry 4.0 Applications

    312 Pages 98 B/W Illustrations
    by CRC Press

    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 subdomains. 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.

    1. Analytics Approach for Intelligent Cyber-Physical System Integration in Industrial Internet of Things (Industry 4.0) by Lukman Adewale Ajao and Simon T. Apeh. 2. Digital twins – a state of the art from Industry 4.0 perspective by DEIVA GANESH A and KALPANA P. 3. Human-Centered Approach to Intelligent Analytics in Industry 4.0 by Varad Vishwarupe, Milind Pande, Vishal Pawar, Prachi Joshi, Aseem Deshmukh, Shweta Mhaisalkar, Nicole Mathias, Shrey Maheshwari and Neha Mandora. 4. ADVANCE IN ROBOTICS INDUSTRY 4.0 by Muchharla Suresh, Rajesh Kumar Dash, Deepika Padhy, Swastid Dash, Subhransu Kumar Das, and K Nageswara Rao Achary. 5. A Cloud-based Real-Time Healthcare Monitoring System for CVD Patients by Anjali Kumari, Animesh Kumar, Kanishka Vijayvargiya, Piyush Goyal, Ujjwal Tripathi and Avinash Chandra Pandey. 6. Assessment of fuzzy logic assessed recommender system: A critical critique by S Gopal Krishna Patro, Brojo Kishore Mishra and Sanjaya Kumar Panda. 7. Intelligent Analytics in Big Data and Cloud by K Aditya Shastry and Manjunatha B A. 8. Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0 by Sanil Joshi, Mohit Dua and Shelza Dua. 9. Trending IoT Platforms on Middleware Layer by Neha Katiyar, Surabhi Sakhshi, Priti Kumari and Jyoti Srivastava. 10. Healthcare IoT: A Factual and Feasible Application of Industrial IoT by Subasish Mohapatra, Amlan Sahoo, Munesh Singh and Subhadarshini Mohanty. 11. IoT based Spacecraft Anti-Collision HUD Design Formulation by Bibhorr. 12. Coverage of LoRaWAN in Vijayawada: A Practical Approach by P. Saleem Akram and M Lakshmana. 13. Intelligent Health Care Industry for Disease Detection by Ishaan Deep, Payaswini Singh, Aditi Trishna, Sanskar, Biswa Ranjan Senapati and Rakesh Ranjan Swain. 14. Challenges with Industry 4.0 security by Mohit Sajwan and Simranjit Singh. 15. Dodging Security Attacks and Data Leakage Prevention for Cloud and IoT Environments by Ishu Gupta, Ankit Tiwari, Priya Agarwal, Sloni Mittal and Ashutosh Kumar Singh. 16. Role of Blockchain in Industry 4.0 by Keshav Kaushik and Bhavana Kaushik. 17. Blockchain and Bitcoin Security in Industry 4.0 by Yadunath Pathak and Praveen Pawar. 18. Technology in Industry 4.0 by Rashmy Moray and Amar Patnaik. 19. Intelligent Analytics in Cyber Physical Systems by Manjushree Nayak, Priyanka P Pratihari, Sanjana Mahapatra and Shyam Sundar Pradhan. 20. An Overlook on Security Challenges in Industry 4.0 by Ramya.R, S.Sharmila Devi and Y.Adline Jancy.


    Avinash Chandra Pandey, Munesh Singh