Computational Science and Its Applications
Apple Academic Press Inc. (Verlag)
978-1-77491-275-1 (ISBN)
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.
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.
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
| Erscheinungsdatum | 11.01.2024 |
|---|---|
| Zusatzinfo | 16 Tables, black and white; 17 Line drawings, color; 76 Line drawings, black and white; 1 Halftones, color; 1 Halftones, black and white; 18 Illustrations, color; 77 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 650 g |
| Themenwelt | Schulbuch / Wörterbuch |
| Mathematik / Informatik ► Informatik ► Datenbanken | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Naturwissenschaften ► Biologie | |
| ISBN-10 | 1-77491-275-9 / 1774912759 |
| ISBN-13 | 978-1-77491-275-1 / 9781774912751 |
| Zustand | Neuware |
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