High-Performance Automation Methods for Computational Intelligent Systems
Design and Enabling Technologies
Herausgeber: Kumar Gupta, Sachin; Sharma, Vijay Kumar
High-Performance Automation Methods for Computational Intelligent Systems
Design and Enabling Technologies
Herausgeber: Kumar Gupta, Sachin; Sharma, Vijay Kumar
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The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation is the need of today's world, and the computational systems need to be upgraded to that level to perform the required tasks.
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The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation is the need of today's world, and the computational systems need to be upgraded to that level to perform the required tasks.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 472
- Erscheinungstermin: 18. August 2025
- Englisch
- Abmessung: 234mm x 156mm
- Gewicht: 453g
- ISBN-13: 9781032740638
- ISBN-10: 1032740639
- Artikelnr.: 73530795
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 472
- Erscheinungstermin: 18. August 2025
- Englisch
- Abmessung: 234mm x 156mm
- Gewicht: 453g
- ISBN-13: 9781032740638
- ISBN-10: 1032740639
- Artikelnr.: 73530795
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Vijay Kumar Sharma received his M. Tech. degree in VLSI Design from the National Institute of Technology, Hamirpur (H.P.), India, in 2009 and his Ph.D. in Low-Power VLSI Design from the ABV Indian Institute of Information Technology & Management, Gwalior (M.P.), India, in 2015. Currently, he is an Assistant Professor in the School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, India, since January 2015. 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 the life-member of the various societies. He has organized many short-term programmes/workshops/faculty development programmes/seminars/conferences. He participates actively in all related events. Sachin Kumar Gupta received his M. Tech. & Ph.D. from the Indian Institute of Technology (Banaras Hindu University), Varanasi (Uttar Pradesh), India in 2011 & 2016, respectively. Currently, he is working as Assistant Professor in the School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, India, since January 2015. His research and teaching interest includes computer systems and networking, cryptography and network security, cyber security, UAV, SDN, IoT etc. He has published widely in the reputed international journals and prestigious conference proceedings, and an author of many book chapters as well. He has also granted number of patents from German patent and trademark office, and Office of the Controller General of Patents Designs & Trademarks, Govt. of India, South Africa etc. He has organized the number of faculty development programs/short term courses/workshops/conference, etc in the capacity of coordinator and organizing secretary.
1. Fuzzy Similarity Measures for Clustering Validation. 2. Determination
and Classification of Human Blood Contamination Diseases and Rh Factor
Using Ensemble Algorithm. 3. Deep Learning Technique for Dark Web Threat
Detection and Analysis on Social Media. 4. Energy Efficient Hybrid
Algorithm for Reconfiguration in Radial Distribution System. 5.
Comprehensive Examination of Automation Approaches for the Study and
Detection of Disparate Leaf Diseases using Computational Intelligent
Systems. 6. Navigating the Linguistic Landscape: Unveiling the Future
Trajectory of Natural Language Processing in an Evolving Digital Era. 7.
Securing the Next Dimension: Cybersecurity Strategies for Advanced
Computational Intelligence. 8. Meta-Fusion Network for Tumor
Classification. 9. Empowering Health care analysis with AI-Enhanced
Decision Support - A comparative study using Machine Learning. 10.
Precision Marketing: Customer Segmentation through Machine Learning
Techniques. 11. Machine Learning Techniques in Network Security: A
Comprehensive Survey, Performance Analysis, and Time Complexity Comparison.
12. Role of UAVs during Disaster in Urban or City Block Environment. 13.
BHJ Organic Solar Cells: Design and Exploration of Several Modeling
Approaches. 14. Design of High-Performance SRAM Cell.
and Classification of Human Blood Contamination Diseases and Rh Factor
Using Ensemble Algorithm. 3. Deep Learning Technique for Dark Web Threat
Detection and Analysis on Social Media. 4. Energy Efficient Hybrid
Algorithm for Reconfiguration in Radial Distribution System. 5.
Comprehensive Examination of Automation Approaches for the Study and
Detection of Disparate Leaf Diseases using Computational Intelligent
Systems. 6. Navigating the Linguistic Landscape: Unveiling the Future
Trajectory of Natural Language Processing in an Evolving Digital Era. 7.
Securing the Next Dimension: Cybersecurity Strategies for Advanced
Computational Intelligence. 8. Meta-Fusion Network for Tumor
Classification. 9. Empowering Health care analysis with AI-Enhanced
Decision Support - A comparative study using Machine Learning. 10.
Precision Marketing: Customer Segmentation through Machine Learning
Techniques. 11. Machine Learning Techniques in Network Security: A
Comprehensive Survey, Performance Analysis, and Time Complexity Comparison.
12. Role of UAVs during Disaster in Urban or City Block Environment. 13.
BHJ Organic Solar Cells: Design and Exploration of Several Modeling
Approaches. 14. Design of High-Performance SRAM Cell.
1. Fuzzy Similarity Measures for Clustering Validation. 2. Determination
and Classification of Human Blood Contamination Diseases and Rh Factor
Using Ensemble Algorithm. 3. Deep Learning Technique for Dark Web Threat
Detection and Analysis on Social Media. 4. Energy Efficient Hybrid
Algorithm for Reconfiguration in Radial Distribution System. 5.
Comprehensive Examination of Automation Approaches for the Study and
Detection of Disparate Leaf Diseases using Computational Intelligent
Systems. 6. Navigating the Linguistic Landscape: Unveiling the Future
Trajectory of Natural Language Processing in an Evolving Digital Era. 7.
Securing the Next Dimension: Cybersecurity Strategies for Advanced
Computational Intelligence. 8. Meta-Fusion Network for Tumor
Classification. 9. Empowering Health care analysis with AI-Enhanced
Decision Support - A comparative study using Machine Learning. 10.
Precision Marketing: Customer Segmentation through Machine Learning
Techniques. 11. Machine Learning Techniques in Network Security: A
Comprehensive Survey, Performance Analysis, and Time Complexity Comparison.
12. Role of UAVs during Disaster in Urban or City Block Environment. 13.
BHJ Organic Solar Cells: Design and Exploration of Several Modeling
Approaches. 14. Design of High-Performance SRAM Cell.
and Classification of Human Blood Contamination Diseases and Rh Factor
Using Ensemble Algorithm. 3. Deep Learning Technique for Dark Web Threat
Detection and Analysis on Social Media. 4. Energy Efficient Hybrid
Algorithm for Reconfiguration in Radial Distribution System. 5.
Comprehensive Examination of Automation Approaches for the Study and
Detection of Disparate Leaf Diseases using Computational Intelligent
Systems. 6. Navigating the Linguistic Landscape: Unveiling the Future
Trajectory of Natural Language Processing in an Evolving Digital Era. 7.
Securing the Next Dimension: Cybersecurity Strategies for Advanced
Computational Intelligence. 8. Meta-Fusion Network for Tumor
Classification. 9. Empowering Health care analysis with AI-Enhanced
Decision Support - A comparative study using Machine Learning. 10.
Precision Marketing: Customer Segmentation through Machine Learning
Techniques. 11. Machine Learning Techniques in Network Security: A
Comprehensive Survey, Performance Analysis, and Time Complexity Comparison.
12. Role of UAVs during Disaster in Urban or City Block Environment. 13.
BHJ Organic Solar Cells: Design and Exploration of Several Modeling
Approaches. 14. Design of High-Performance SRAM Cell.