Internet of Things and Big Data Analytics-Based Manufacturing
Herausgeber: Kumar Rana, Arun; Goel, Pallavi; Chakraborty, Sudeshna
Internet of Things and Big Data Analytics-Based Manufacturing
Herausgeber: Kumar Rana, Arun; Goel, Pallavi; Chakraborty, Sudeshna
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By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.
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By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 274
- Erscheinungstermin: 17. Oktober 2024
- Englisch
- Abmessung: 234mm x 156mm x 18mm
- Gewicht: 581g
- ISBN-13: 9781032666716
- ISBN-10: 1032666714
- Artikelnr.: 70372387
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 274
- Erscheinungstermin: 17. Oktober 2024
- Englisch
- Abmessung: 234mm x 156mm x 18mm
- Gewicht: 581g
- ISBN-13: 9781032666716
- ISBN-10: 1032666714
- Artikelnr.: 70372387
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Arun Kumar Rana completed his B. Tech degree from Kurukshetra University, M. Tech., and his Ph.D. from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Image Processing, Wireless Sensor networks, the Internet of Things, AI, and Machine Learning and Embedded Systems. Prof. Rana is currently working as an Assistant Professor 3 at Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. He is a collaborative researcher and has published 25 SCI Papers (6 submitted), 30 SCOPUS papers, 25 chapters, and 30 papers in national and international conferences. He has also published 10 books with national and international publishers such as Taylor and Francis. Sudeshna Chakraborty has over 18 years of experience in academic and industry-academia interface processes including teaching UG, PG, and Ph.D. scholars with the role of Exam Dep. Supervisor. He has a total of 18 national and international patents published and 2 filed. He has published in over 50 national and international journals and conferences and received the Outstanding Academician Award 2020, the Research Excellence Award, and the Academician's Award from the Institute of Scholars 2021. He also received the 2022 Best Speaker Award on Roles and Trends of Engineers on Engineering by the Institute of Engineers of India. Pallavi Goel is currently working as a professor at the CSE Department Faculty of Engineering and Technology. Dr. Goel leads various departmental level roles, including Industry collaboration and government-funded project, and oversees IPR For Galgotias College of Engineering and Technology, Greater Noida, India. Dr. Goel worked as an Associate Professor, at the CSE Department Faculty of Engineering and Technology, and international research collaboration coordinator for ManavRachna International Institute of Research and Studies Surajkund Delhi. She worked for 9 years for the School of Computing Science and Engineering at Galgotias University. Sumit Kumar Rana has completed his B. Tech degree from Kurukshetra University, M. Tech., and Ph.D. from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His area of interest includes blockchain technology, cryptography, cryptocurrency, artificial intelligence, etc. Prof. Sumit Kumar Rana is currently working as an Assistant Professor at Panipat Institute of Engineering and Technology, Panipat, India with more than 12 years of experience and is a collaborative researcher. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. He has more than 150 scientific research papers published in prestigious international journals and over 35 books covering diverse topics such as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher and a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the Best Young Researcher Award (Male) (Below 40 years), Global Education and Corporate Leadership Awards (GECL-2018).
Section 1: IoT and Technology. 1. IoT-Based Work Monitoring: The Future of
Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and
Applications in Smart Environments. 3. Internet of Things Architecture's
Importance in Healthcare Management. 4. Blockchain-Enabled Data Security
and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The
Future of Big Data. 5. Impact of Big Data & Internet of Things in
Manufacturing: Next Level of Revolution. 6. Application of Artificial
Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7.
Role of IoT and Big Data in Evolving Smartness in Manufacturing and
Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9.
Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for
IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11.
A Backstepping Neural Network-Based Manufacture and Leader-Follower
Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research
Applications in Healthcare with Machine Learning Approaches. Section 4:
Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing
Security, Privacy, and Predictive Maintenance through IoT and Big Data
Integration. 14. Application of Artificial Intelligence in the Diagnosis
and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles
(IoV): Transforming Transportation through Connectivity, Big Data, and
Security. 16. A Secure, Scalable, and Integrated Smart Platform for
Teaching and Coding.
Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and
Applications in Smart Environments. 3. Internet of Things Architecture's
Importance in Healthcare Management. 4. Blockchain-Enabled Data Security
and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The
Future of Big Data. 5. Impact of Big Data & Internet of Things in
Manufacturing: Next Level of Revolution. 6. Application of Artificial
Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7.
Role of IoT and Big Data in Evolving Smartness in Manufacturing and
Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9.
Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for
IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11.
A Backstepping Neural Network-Based Manufacture and Leader-Follower
Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research
Applications in Healthcare with Machine Learning Approaches. Section 4:
Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing
Security, Privacy, and Predictive Maintenance through IoT and Big Data
Integration. 14. Application of Artificial Intelligence in the Diagnosis
and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles
(IoV): Transforming Transportation through Connectivity, Big Data, and
Security. 16. A Secure, Scalable, and Integrated Smart Platform for
Teaching and Coding.
Section 1: IoT and Technology. 1. IoT-Based Work Monitoring: The Future of
Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and
Applications in Smart Environments. 3. Internet of Things Architecture's
Importance in Healthcare Management. 4. Blockchain-Enabled Data Security
and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The
Future of Big Data. 5. Impact of Big Data & Internet of Things in
Manufacturing: Next Level of Revolution. 6. Application of Artificial
Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7.
Role of IoT and Big Data in Evolving Smartness in Manufacturing and
Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9.
Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for
IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11.
A Backstepping Neural Network-Based Manufacture and Leader-Follower
Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research
Applications in Healthcare with Machine Learning Approaches. Section 4:
Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing
Security, Privacy, and Predictive Maintenance through IoT and Big Data
Integration. 14. Application of Artificial Intelligence in the Diagnosis
and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles
(IoV): Transforming Transportation through Connectivity, Big Data, and
Security. 16. A Secure, Scalable, and Integrated Smart Platform for
Teaching and Coding.
Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and
Applications in Smart Environments. 3. Internet of Things Architecture's
Importance in Healthcare Management. 4. Blockchain-Enabled Data Security
and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The
Future of Big Data. 5. Impact of Big Data & Internet of Things in
Manufacturing: Next Level of Revolution. 6. Application of Artificial
Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7.
Role of IoT and Big Data in Evolving Smartness in Manufacturing and
Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9.
Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for
IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11.
A Backstepping Neural Network-Based Manufacture and Leader-Follower
Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research
Applications in Healthcare with Machine Learning Approaches. Section 4:
Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing
Security, Privacy, and Predictive Maintenance through IoT and Big Data
Integration. 14. Application of Artificial Intelligence in the Diagnosis
and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles
(IoV): Transforming Transportation through Connectivity, Big Data, and
Security. 16. A Secure, Scalable, and Integrated Smart Platform for
Teaching and Coding.