TY  - BOOK
AU  - Ansari,Irshad Ahmad
AU  - Bajaj,Varun
ED  - Institute of Physics (Great Britain),
TI  - Advanced signal processing for Industry 4.0
T2  - [IOP release $release]
SN  - 9780750352475
AV  - TK5102.9 .A387 2023eb vol. 1
PY  - 2023///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Signal processing
KW  - Industry 4.0
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING
KW  - bisacsh
N1  - "Version: 202306"--Title page verso; Includes bibliographical references; 1. Robotics vision for industrial automation / Shivam Vyas, Irshad Ahmad Ansari and Varun Bajaj -- 2. Capnography signal processing in trend with Industry 4.0 advancement / Santheraleka Ramanathan and M.B. Malarvili -- 3. The future of Industry 4.0 : private 5G networks / P.D. Selvam, J. Sridhar, V. Ganesan and R. Ravindraiah -- 4. Applications of infrared imaging for non-destructive testing and evaluation of industrial components / Navpreet Kaur, Geetika Dua, Ravibabu Mulaveesala and Vanita Arora -- 5. Customer-driven healthcare through mission-focused approach in 4IR / Marjo Rissanen, Antti Rissanen and Kari Rannaste -- 6. The application of Industry 4.0 technologies for automated health monitoring and surveillance during pandemics and post-pandemic life / Hamid Reza Marateb, M�onica Rojas-Mart�inez, Shadi Zamani, Mehdi Shirzadi, Amirhossein Koochekian and Miguel Angel Ma�ananas -- 7. A novel computational intelligence approach to making efficient decisions under parametric uncertainty of practical models and its applications to Industry 4.0 / N.A. Nechval, G. Berzins and K.N. Nechval -- 8. Role of artificial intelligence in industries for advanced applications / Resham Raj Shivwanshi and Neelamshobha Nirala -- 9. Artificial intelligence based flexible manufacturing system (FMS) / Ashutosh Mishra -- 10. Applications of deep learning in revolutionizing industrial sectors / Rohit Roy Chowdhury, Tapomoy Koley and Kausik Basak -- 11. Digitalization in family businesses--a case study in a food industry in Turkey / G�uzide Karaku�s and Meral Erdiren�ocelebi -- 12. Automatic identification of finger movements for industrial robotic applications using electromyogram signals / Anurodh Kumar, Amit Vishwakarma and Varun Bajaj -- 13. Data-driven approach to design energy-efficient precoder for QoS-aware MIMO-MRCN system in context of Industry 4.0 / Deepak Sahu, Shikha Maurya, Matadeen Bansal and Dinesh Kumar V; Industrial and academic researchers across electrical engineering, signal processing, computer vision, sensors, AI, IIoT, IoT; Also available in print
N2  - Industry 4.0 is an amalgamation of digital technologies with the industries; it is required for enhancing production, flexibility and scalability in industries. This field of research is a rapidly changing domain. It is also a multifaceted area of research including signal processing, computer vision, artificial intelligence, manufacturing, production engineering, etc. This book brings together professionals from academia and industry to present a review of state of knowledge in the fields of advanced signal and vision processing, the Industrial Internet of Things, AI and machine learning, signal processing for smart manufacturing, cyber-physical systems and intelligent systems for industries as applied to the implementation of Industry 4.0. The book will help readers to understand future needs of industries
UR  - https://iopscience.iop.org/book/edit/978-0-7503-5247-5
ER  -