The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 - a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure.
Key Features:
Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0.
Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0.
Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation.
Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing.
Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities.
The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Undergraduate Advanced
Illustrationen
77 s/w Abbildungen, 16 s/w Photographien bzw. Rasterbilder, 60 s/w Zeichnungen, 14 s/w Tabellen
14 Tables, black and white; 61 Line drawings, black and white; 16 Halftones, black and white; 61 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-1-032-50075-1 (9781032500751)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr Vikas Khullar is currently working as an Associate Professor at Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. He has 15 years of experience in research and academia. Dr Khullar has completed his Ph.D. in Computer Science and Engineering. During his Doctorate dissertation, he had developed new and unique assistive technologies with the use of machine learning and deep learning along with IOT and embedded hardware. He has published more than 80 publications. His major findings are published in reputed/indexed journals with significant impact factors. He has filed patents to tackle most social and commercial problems. He has acted as a team leader and has organized several international/national conferences, short term courses, faculty development programmes, seminars and webinars. At present, he is working in the field of Intelligent Internet of Things in Society 5.0, Assistive Technologies for Neurological Disorders, Federated Learning and Trusted Artificial Intelligence.
Dr. Mohit Angurala is currently working as an Associate Professor in the Apex Institute of Technology, Chandigarh University, Gharuan, Mohali, Punjab, India. He completed his Ph.D. degree in Computer Science and Engineering from I.K Gujral Punjab Technical University, Kapurthala, Punjab, in 2021. He has done Masters of Technology in Computer Science and Engineering, in 2014 form Punjab Institute of Technology, PTU Main Campus, Kapurthala, Punjab. In addition to this, he has obtained Master's degree (MBA in distance) in HR from Guru Nanak Dev University, Amritsar. He did his Bachelor of Technology in Information Technology, in 2011 from Beant College of Engineering and Technology, Gurdaspur, Punjab. Recently, he has completed his advanced certification in Machine learning and Deep Learning from IIIT Bangalore. His areas of Interests include energy management in wireless sensor networks, topology management, modulation, network security, optics and Internet of Things. He has a total 44 international publications in his records. He has published 4 book chapters and 1 international book as well. He has got 4 patents for his researches and out of which 3 are filed and one has already been granted. He is serving as an editorial board member and reviewer for many reputed international journals like Web of Science, Scopus and many others of high repute.
Dr. Vrajesh Sharma is working as an In-charge Computer Centre/System Manager at Panjab University SSG Regional Centre, Hoshiarpur which is an off-campus establishment of Panjab University, Chandigarh. He has attained his Ph.D. from IKG Punjab Technical University, Jalandhar in the field of Cloud Computer. He has a multifaceted personality and his major areas of interest are Cloud Computing, Computer Networks, Network security and Firewalls with the specialization in the field of Scheduling Algorithms in Cloud Computing. He did his Bachelors in Science under Panjab University, Chandigarh and obtained Masters in Computer Application with Hons. from Punjab Technical University, Jalandhar. His employment history includes over 18 years of qualitative technical experience in Industry, Educational Institutes/College and University. He holds two patents and has published over 18 papers/articles in reputed Journals (indexed in SCIe, eSCI, Web of Science & Scopus), International Conferences & National Seminars and Book Chapters, in total. For his research and contributions in the field of priority based scheduling algorithms for optimizing the performance of cloud computing, he has received the INSc Research Excellence Award in the year 2020. He has been a member of the Technical Program Committees, Resource Person for Webinars, Seminars & Conferences and has delivered various Expert Talks in Colleges & at All India Radio, Jalandhar, also. He have filled three patents.
Dr. Nipun Chhabra is currently working as an Associate Professor, SEDA - E, GNA University, Phagwara, Punjab, India. She has obtained her Ph.D. from I.K Gujral Punjab Technical University, Kapurthala, Punjab, India. She has done Masters of Computer Applications (with Hons) from Punjab Technical University, Jalandhar, Punjab and Bachelor of Computer Applications under Guru Nanak Dev University, Amritsar. In addition to this, she has qualified National Eligibility Test (UGC-NET) for teachers and her major areas of Interests include Cloud Computing, Deduplication and Security issues in Cloud Computing. She has published over 18 papers/articles in reputed Journals (indexed in SCIe, eSCI, Web of Science & Scopus), International Conferences/National Seminars and 02 Chapters in Books. She has over 18 years of qualitative teaching experience and she has been a member of various academic and research committees. He have filled two patents.
1. Introduction and Role of Society 5.0 in Human Centric Development. 2. AI Architectures and Technologies for Raising Society 5.0. 3. Disruptive Technologies and Sustainable Development Goals for Society 5.0. 4. Use of Big Data Architecture in Society 5.0. 5. Ethics and Regulations in the field of Artificial Intelligence for Sustainable Development in Society 5.0. 6. Opportunities and Challenges in AI Society 5.0. 7. Emergence of AI in Education: A way forward for Societal Development. 8. Applications and Use of AI in E-Commerce - Opportunities and Challenges in Society 5.0. 9. AI based Machine Learning and Deep Learning Smart Electricity Grids for Society 5.0. 10. Securing Smart Grids using Machine Learning Algorithms. 11. Energy Management in IoT enabled Smart Grid: A Review. 12. E-Healthcare and Society 5.0. 13. Role of Disruptive Technologies in the Smart Healthcare Sector of Society 5.0. 14. Agriculture in Society 5.0. 15. Personalized navigation system in Society 5.0. 16. Role of Geospatial Technology in the Development of Society 5.0. 17. Application of Machine Learning for IoT security: A step towards society 5.0. 18. Emerging Trends in Cyber Security Challenges with Reference to Pen Testing Tools in Society 5.0. 19. Role of Delay Sensitive Smart Health Framework Using Nature Inspired Load Balancer in society 5.0. 20. Performance Comparison of AODV, DSDV, and DSR Routing Protocols in Wireless Sensor Networks. 21. Enhancing Rating and Learning through Clustering in Artificial Intelligence. 22. Aquatic Weed mining using Artificial Intelligence
