Data-driven systems and intelligent applications / edited by Mangesh M Ghonge, N Krishna Chaitanya, Pradeep N, Harish Garg and Alessandro Bruno.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2025. |
| Description | volumes cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Ghonge, Mangesh M. |
| Other author/creator | Chaitanya, N. Krishna. |
| Other author/creator | Pradeep, N., 1977- |
| Other author/creator | Garg, Harish. |
| Other author/creator | Bruno, Alessandro (Computer engineer) |
| Series | Intelligent data-driven systems and artificial intelligence |
| Partial contents | Introduction to data driven intelligent systems / G.Vimala Kumari, Babji Prasad Chapa, Nosina Krishna Chaitanya, Rupesh G. Mahajan, Minal Shahakar -- Challenges and techniques in data driven systems / Sandeep G Shukla, Pradnya K Bachhav, Pravin R Pachorkar, Akshay R Jain, Pramod C Patil, Piyush R Kulkarni -- Role of artificial intelligence in healthcare applications using various bio medical signals / Gundala Jhansi Rani, Mohammad Farukh Hashmi. |
| Abstract | "This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing. This book: Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning. Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence. Presents the latest developments in data-driven and cloud applications with respect to their design and architecture. Covers artificial intelligence methods along with their experimental result analysis through data processing tools. Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2024030982 |
| ISBN | 9781032445960 (hbk) |
| ISBN | 9781032483184 (pbk |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |