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High-Performance Automation Methods for Computational Intelligent Systems: Challenges, Opportunities, and Applications (Computational Intelligence in Signal Processing and Automation) - Tapa dura
Sinopsis
Intelligent computation is the need of the current society. This field attracts significant attention due to its application‑oriented systems. It is essential for implementing various society‑related solutions. Automation methods help improve the quality of life and support the development of efficient systems. The available theories and concepts are implemented for the benefit of society, drastically changing the world. The advancement of the existing ideas is simulated in the scenario of future intelligent automation systems. The complicated problems can be easily solved using the mentioned approaches. The decisive nature of the algorithms builds the system more intelligent. This book targets current trends in the relevant field and outlines a path for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps in the current development scenarios need to be identified and bridged by incorporating highly efficient algorithms, ideas, and working prototypes.
This book:
- Presents a comprehensive survey, performance analysis, and time complexity comparison of machine learning techniques in network security
- Discusses energy‑efficient hybrid algorithms for reconfiguration in radial distribution systems
- Covers a detailed examination of automation approaches for the study and detection of disparate leaf diseases using computational intelligent systems
- Illustrates applications of quantum cellular energy‑efficient computing methods for automation
- Explain cybersecurity strategies for advanced computational intelligence and customer segmentation through machine learning techniques
The book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
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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.
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High-Performance Automation Methods for Computational Intelligent Systems (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032908106
ISBN 13: 9781032908106
Nuevo
Tapa dura
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Intelligent computation is the need of the current society. This field attracts significant attention due to its applicationoriented systems. It is essential for implementing various societyrelated solutions. Automation methods help improve the quality of life and support the development of efficient systems. The available theories and concepts are implemented for the benefit of society, drastically changing the world. The advancement of the existing ideas is simulated in the scenario of future intelligent automation systems. The complicated problems can be easily solved using the mentioned approaches. The decisive nature of the algorithms builds the system more intelligent. This book targets current trends in the relevant field and outlines a path for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps in the current development scenarios need to be identified and bridged by incorporating highly efficient algorithms, ideas, and working prototypes.This book:Presents a comprehensive survey, performance analysis, and time complexity comparison of machine learning techniques in network securityDiscusses energyefficient hybrid algorithms for reconfiguration in radial distribution systemsCovers a detailed examination of automation approaches for the study and detection of disparate leaf diseases using computational intelligent systemsIllustrates applications of quantum cellular energyefficient computing methods for automationExplain cybersecurity strategies for advanced computational intelligence and customer segmentation through machine learning techniquesThe book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. This book consists of current trends in the relevant field and the outline for the development of future automated systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781032908106
Cantidad disponible: 1 disponibles
Imagen de archivo
High-Performance Automation Methods for Computational Intelligent Systems (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032908106
ISBN 13: 9781032908106
Nuevo
Tapa dura
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Intelligent computation is the need of the current society. This field attracts significant attention due to its applicationoriented systems. It is essential for implementing various societyrelated solutions. Automation methods help improve the quality of life and support the development of efficient systems. The available theories and concepts are implemented for the benefit of society, drastically changing the world. The advancement of the existing ideas is simulated in the scenario of future intelligent automation systems. The complicated problems can be easily solved using the mentioned approaches. The decisive nature of the algorithms builds the system more intelligent. This book targets current trends in the relevant field and outlines a path for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps in the current development scenarios need to be identified and bridged by incorporating highly efficient algorithms, ideas, and working prototypes.This book:Presents a comprehensive survey, performance analysis, and time complexity comparison of machine learning techniques in network securityDiscusses energyefficient hybrid algorithms for reconfiguration in radial distribution systemsCovers a detailed examination of automation approaches for the study and detection of disparate leaf diseases using computational intelligent systemsIllustrates applications of quantum cellular energyefficient computing methods for automationExplain cybersecurity strategies for advanced computational intelligence and customer segmentation through machine learning techniquesThe book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. This book consists of current trends in the relevant field and the outline for the development of future automated systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032908106
Cantidad disponible: 1 disponibles