1st Edition
High-Performance Automation Methods for Computational Intelligent Systems Design and Enabling Technologies
Computational methods are necessary for the proper execution of the applications for the benefit of society and technological development. Technological development makes life easier by constructing powerful systems with the help of computational methods. The nature of computational methods changes from time to time and retains only efficient applicable theories. Researchers take the idea of existing computational systems and advanced them as per the possible future needs. Efficient computational methods also solve complex problems and help to make the system more intelligent. Automation process requires decision-making computational systems. A more intelligent system contains an efficient computational method, which is described by powerful algorithm development. 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. The most efficient computational algorithm acts like a human being and offers a full sense of intelligent automation.
This book:
- Presents the latest research trends for the upcoming computational intelligent systems in a comprehensive manner.
- Focuses on the integration of multi-purpose and multi-dimension natural language into intelligent systems.
- Elaborates on nature-inspired and intelligent behaviour-based computational methods to deal with the observation of nature.
- Illustrates applications of quantum cellular energy-efficient computing methods for automation and applications of genetic algorithms in multi-disciplinary fields.
- Discusses aspects of intelligent automation like technology-based, architecture-based, logic implementation-based, and the different algorithms-based concepts.
It 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.
Chapter 1: Fuzzy Similarity Measures for Clustering Validation
Monika, Rakesh Kumar Bajaj, Aman Sharma
Chapter 2: Determination and Classification of Human Blood Contamination Diseases and Rh Factor Using Ensemble Algorithm
Suthagar S, Mageshkumar G, Tamilselvan K S, Murugesan G, Lalithraj S
Chapter 3: Deep Learning Technique for Dark Web Threat Detection and Analysis on Social Media
Anil Kumar, Abhay Bhatia, Manish Verma, Sunil Kumar
Chapter 4: Energy Efficient Hybrid Algorithm for Reconfiguration in Radial Distribution System
Surender Singh
Chapter 5: Comprehensive Examination of Automation Approaches for the Study and Detection of Disparate Leaf Diseases using Computational Intelligent Systems
Muskan Dixit
Chapter 6: Navigating the Linguistic Landscape: Unveiling the Future Trajectory of Natural Language Processing in an Evolving Digital Era
Jyoti Snehi, Isha Kansal, Ashish Kumar
Chapter 7: Securing the Next Dimension: Cybersecurity Strategies for Advanced Computational Intelligence
Anmol Madan, Ashish Kumar
Chapter 8: Meta-Fusion Network for Tumor Classification
Mayank Kumar Singh, Dr Indu Saini, and Dr Neetu Sood
Chapter 9: Empowering Health care analysis with AI-Enhanced Decision Support - A comparative study using Machine Learning
Kavya Varshini A, Jayaashri. C and Padmini S
Chapter 10: Precision Marketing: Customer Segmentation through Machine Learning Techniques
Animesh Singh, Aum Shah, Padmini S
Chapter 11: Machine Learning Techniques in Network Security: A Comprehensive Survey, Performance Analysis, and Time Complexity Comparison
Preeti, Priti Sharma
Chapter 12: Role of UAVs during Disaster in Urban or City Block Environment
Yogesh Shastri, Sachin Kumar Gupta, Amina Khan, Sumeet Gupta
Chapter 13: BHJ Organic Solar Cells: Design and Exploration of Several Modeling Approaches
Syed Mohd Hussain, Md. Waseem Akram, Umayia Mushtaq, Nazida Ansari
Chapter 14: Design of High-Performance SRAM Cell
Balwinder Raj, Arun Kumar, Balwant Raj and Shashi Bala
Biography
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.
