Cloud-Based Digital Finance Systems for Green Economic Growth
$613.28
- Hardcover
526 pages
- Release Date
28 October 2026
Summary
As economies pursue sustainable development, cloud-based digital finance systems can help promote green economic growth. By leveraging cloud computing technologies, these systems enable efficient, secure, and scalable financial services that expand access to capital, streamline transactions, and support data-driven decision-making. They play a critical role in financing environmentally sustainable projects, including renewable energy, green infrastructure, and carbon reduction initiatives. Cl…
Book Details
| ISBN-13: | 9798260009086 |
|---|---|
| Author: | Mudassir Khan, Mazhar Hussain Malik, Megha Bhushan |
| Publisher: | Igi Global Scientific Publishing |
| Imprint: | Igi Global Scientific Publishing |
| Format: | Hardcover |
| Number of Pages: | 526 |
| Release Date: | 28 October 2026 |
| Weight: | 1.13kg |
| Dimensions: | 29mm x 178mm x 254mm |
Mudassir Khan
Dr. Mudassir Khan is an accomplished academician, researcher, and author with over 16 years of teaching and research experience. He serves as an Assistant Professor of Computer Science at King Khalid University, Saudi Arabia, and is pursuing postdoctoral research at Multimedia University, Malaysia. His expertise includes Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics, Data Science, and medical imaging. He has published over 153 research articles in reputed SCI, SCIE, and Scopus-indexed journals. Additionally, he has authored five books, edited numerous volumes with leading international publishers, and holds over 17 patents, contributing significantly to technological innovation and research.
Mazhar Malik is a Head of Department (Artificial Intelligence) in the School of Computing and Creative Technologies at UWE Bristol. His research focuses on artificial intelligence, cybersecurity, digital forensics, Internet of Things (IoT), and data analytics, with particular interest in applying AI and machine learning to real-world security and forensic challenges. He has led and contributed to research and curriculum development across multiple international institutions and actively supports interdisciplinary and applied research initiatives.
Megha Bhushan is with the Department of Computer Languages and Systems, University of Seville, Spain. She has received her ME and Ph.D. degrees from Thapar University, Punjab, India. She was awarded with a fellowship by UGC, Government of India, in 2014. In 2017, she was a recipient of Grace Hopper Celebration India (GHCI) fellowship. She has published many research articles in international journals and conferences of repute. Further, she is the editor of many edited books with different publishers such as Wiley-Scrivener, CRC Press, Taylor & Francis Group, and Bentham Science. Her research interests include Artificial Intelligence, Machine Learning, Knowledge representation, Expert systems, and Software quality. She is also reviewer and editorial board member of many international journals.
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