Advanced signal processing for Industry 4.0.
"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.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.Industrial and academic researchers across electrical engineering, signal processing, computer vision, sensors, AI, IIoT, IoT.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Dr. Irshad Ahmad Ansari has been working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2017. He completed his PhD at IIT Roorkee and subsequently joined Gwangju Institute of Science and Technology, South Korea as a Postdoctoral fellow. His major research interest includes Image Processing, Signal Processing, Soft Computing, Data Classification, Brain Computer Interface. Dr. Varun Bajaj (PhD, SMIEEE) is a faculty member at the Electronics and Communication Engineering department at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur. Prior to this he worked as a visiting faculty in IIITDM Jabalpur and Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India. He received B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006, M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He has authored numerous research papers and edited several book projects. His research interests include biomedical signal processing, image processing, time frequency analysis, and computer-aided medical diagnosis.Title from PDF title page (viewed on July 6, 2023).
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