"This new volume explores the overlapping behavior of some aspects of the computational intelligence, focusing on real-life applications of these new tools and technologies. Computational science draws information from the field of computer science and mathematics and provides solutions to scientific or engineering problems. Even though the areas are quite distinct, many of the topics overlap in computational and computer science. Computational science is the intersection of computing and networking hardware, algorithms, numerical analysis and mathematics, software, programming, and databases and discipline specific knowledge. The chapters in Computational Science and Its Applications discuss how computational science can interact with artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms (ESs), process simulation, deep learning, for big data analysis, and computational intelligent algorithms. This volume will be a handy guide for instructors teaching computational intelligence techniques for undergraduate or postgraduate computer science programs as well as a reference for others interested in these areas"--
This new volume explores the overlapping behavior of some aspects of computational science, focusing on the intersection of computing hardware, algorithms, mathematics, and data management components. The chapters discuss the various application areas of the computational science techniques such as artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms, process simulation, deep learning, big data analysis, etc.
Explores the overlapping behavior of some aspects of the computational intelligence, focusing on real-life applications. It discusses how computational science interacts with AI, machine learning, data science, quantum computing, image processing, evolutionary algorithms, process simulation, big data, and intelligent algorithms.
1. Artificial Intelligence
2. Machine Learning
3. Data Science
4. Quantum Computing
5. Image Processing
6. Evolutionary Algorithms
7. Process Simulation
8. Need of Deep Learning
9. Computational Intelligence for Big Data Analysis
10. Hybridization of Computational Intelligent Algorithms
Anupama Chadha, PhD, is a Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, India. After a short stint in industry, she pursued a career in teaching and has around 20 years of experience at reputed colleges and universities. She has authored or co-authored many research articles and papers published in reputed journals and conferences and is also an editor and reviewer for many international and national journals. She has coauthored books on data mining. A member of several research-oriented organizations, Dr. Chadha organized national and international conferences in association with IEEE and the Computer Society of India. She has chaired conference sessions, delivered keynote talks, and conducted and organized workshops on the latest IT technologies.
Sachin Sharma, PhD is a Professor in the Faculty of Computer Applications at Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, India. He has published over 30 research papers in national and international journals. He is an editor, reviewer, and editorial board member of several reputed Scopus-indexed journals and a member of research organizations. He has chaired sessions at reputed conferences and has delivered keynote talks, conducted workshops on upcoming technologies, and organized several international conferences in association with IEEE and Springer. He has published four books, with two books in the pipeline. His three patents on IoT and smart cards have been published.
Vasudha Arora, PhD, has over 16 years of rich academic and research experience at various reputed colleges and universities. She is currently a Professor in the Department of Computer Science and Engineering at the Sharda School of Engineering Technology, Sharda University, Greater Noida, India. She has authored or co-authored more than 25 scholarly research articles and conference papers. She is a reviewer for several reputed Scopus-indexed journals of IEEE, Springer, and Elsevier. She has delivered keynote talks, conducted workshops on upcoming technologies, and organized several international conferences in association with IEEE and Springer.
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