High-Performance Automation Methods for Computational Intelligent Systems
Challenges, Opportunities, and Applications
Herausgeber: Sharma, Vijay Kumar; Kumar Gupta, Sachin
High-Performance Automation Methods for Computational Intelligent Systems
Challenges, Opportunities, and Applications
Herausgeber: Sharma, Vijay Kumar; Kumar Gupta, Sachin
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This book consists of current trends in the relevant field and the outline for the development of future automated systems.
This book consists of current trends in the relevant field and the outline for the development of future automated systems.
Produktdetails
- Produktdetails
- Computational Intelligence in Signal Processing and Automation
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 386
- Erscheinungstermin: 16. September 2025
- Englisch
- Abmessung: 240mm x 161mm x 25mm
- Gewicht: 744g
- ISBN-13: 9781032908106
- ISBN-10: 1032908106
- Artikelnr.: 73769380
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Computational Intelligence in Signal Processing and Automation
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 386
- Erscheinungstermin: 16. September 2025
- Englisch
- Abmessung: 240mm x 161mm x 25mm
- Gewicht: 744g
- ISBN-13: 9781032908106
- ISBN-10: 1032908106
- Artikelnr.: 73769380
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Vijay Kumar Sharma received his M.Tech. in VLSI Design from the National Institute of Technology, Hamirpur, Himachal Pradesh, India, in 2009 and his Ph.D. in Low¿Power VLSI Design from the ABV Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh, India, in 2015. Since January 2025, he has been Associate Professor in the Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. He is also associated with the School of Electronics & Communication Engineering, Shri Mata Vaishno Devi University, Katra, India. His research interests are in the area of low¿power circuit design. He has published widely in international journals and conferences of repute. He has authored many book chapters for reputed publishers and has many patents to his credit. He is also listed in the list of world's top 2% scientist, published by Stanford University and Elsevier. He is the life member of various societies. He has organized many short¿term programmes/workshops/faculty development programmes. Sachin Kumar Gupta received his M.Tech. and Ph.D. from the Indian Institute of Technology, Banaras Hindu University, Varanasi, Uttar Pradesh, India in 2011 and 2016, respectively. Since September 2023, he has been working as an Associate Professor in the Department of Electronics & Communication Engineering, Central University of Jammu, Samba, India. His research and teaching interests include computer systems and networking, cryptography and network security, cybersecurity. He has published widely in reputed international journals and prestigious conference proceedings, and is the author of many book chapters as well. He has also been granted a number of patents from German Patent and Trade Mark Office, and Office of the Controller General of Patents Designs & Trademarks, Government of India, South Africa. He has organized a number of faculty development programmes/short¿term courses/workshops/conferences in the capacity of coordinator and organizing secretary.
1. Cybersecurity for the intelligent computational systems - Internet of
Drones. 2. A Comprehensive Survey of Artificial Intelligence in
Cybersecurity. 3. High Performance Self- Bias Transistor Multipliers for
Computing Applications. 4. Multi-Tasking Bot for Customized Automation:
Social Networking and Knowledge Transfer for IR 4.0 and Knowledge
Management. 5. Integrated Computational Intelligence Models to Ensure Food
Security Withstanding Climate Change. 6. A Comprehensive Review of Hybrid
Variants of Artificial Bee Colony Algorithm. 7. Development of Various
Current Genetic Algorithms. 8. Integration of Cyber Security and
Intelligent Computational Systems. 9. Deciphering Parkinson's: A Thorough
Review of Techniques for Illness Identification and Prevention. 10. Future
prospects of natural language processing. 11. Prospects and Trends in the
Future of natural language processing. 12. Detection of Moving Objects and
Elimination of Shadows from Color Video. 13. Emotion Recognition from
Facial Expression Using Deep Learning Technique. 14. Nanotechnology in
Agriculture.
Drones. 2. A Comprehensive Survey of Artificial Intelligence in
Cybersecurity. 3. High Performance Self- Bias Transistor Multipliers for
Computing Applications. 4. Multi-Tasking Bot for Customized Automation:
Social Networking and Knowledge Transfer for IR 4.0 and Knowledge
Management. 5. Integrated Computational Intelligence Models to Ensure Food
Security Withstanding Climate Change. 6. A Comprehensive Review of Hybrid
Variants of Artificial Bee Colony Algorithm. 7. Development of Various
Current Genetic Algorithms. 8. Integration of Cyber Security and
Intelligent Computational Systems. 9. Deciphering Parkinson's: A Thorough
Review of Techniques for Illness Identification and Prevention. 10. Future
prospects of natural language processing. 11. Prospects and Trends in the
Future of natural language processing. 12. Detection of Moving Objects and
Elimination of Shadows from Color Video. 13. Emotion Recognition from
Facial Expression Using Deep Learning Technique. 14. Nanotechnology in
Agriculture.
1. Cybersecurity for the intelligent computational systems - Internet of
Drones. 2. A Comprehensive Survey of Artificial Intelligence in
Cybersecurity. 3. High Performance Self- Bias Transistor Multipliers for
Computing Applications. 4. Multi-Tasking Bot for Customized Automation:
Social Networking and Knowledge Transfer for IR 4.0 and Knowledge
Management. 5. Integrated Computational Intelligence Models to Ensure Food
Security Withstanding Climate Change. 6. A Comprehensive Review of Hybrid
Variants of Artificial Bee Colony Algorithm. 7. Development of Various
Current Genetic Algorithms. 8. Integration of Cyber Security and
Intelligent Computational Systems. 9. Deciphering Parkinson's: A Thorough
Review of Techniques for Illness Identification and Prevention. 10. Future
prospects of natural language processing. 11. Prospects and Trends in the
Future of natural language processing. 12. Detection of Moving Objects and
Elimination of Shadows from Color Video. 13. Emotion Recognition from
Facial Expression Using Deep Learning Technique. 14. Nanotechnology in
Agriculture.
Drones. 2. A Comprehensive Survey of Artificial Intelligence in
Cybersecurity. 3. High Performance Self- Bias Transistor Multipliers for
Computing Applications. 4. Multi-Tasking Bot for Customized Automation:
Social Networking and Knowledge Transfer for IR 4.0 and Knowledge
Management. 5. Integrated Computational Intelligence Models to Ensure Food
Security Withstanding Climate Change. 6. A Comprehensive Review of Hybrid
Variants of Artificial Bee Colony Algorithm. 7. Development of Various
Current Genetic Algorithms. 8. Integration of Cyber Security and
Intelligent Computational Systems. 9. Deciphering Parkinson's: A Thorough
Review of Techniques for Illness Identification and Prevention. 10. Future
prospects of natural language processing. 11. Prospects and Trends in the
Future of natural language processing. 12. Detection of Moving Objects and
Elimination of Shadows from Color Video. 13. Emotion Recognition from
Facial Expression Using Deep Learning Technique. 14. Nanotechnology in
Agriculture.