Artificial intelligence and internet of things based augmented trends for data driven systems / edited by Anshu Singla, Sarvesh Tanwar and Pao-Ann Hsiung.
| Other author | Singla, Anshu. |
| Other author | Tanwar, Sarvesh. |
| Other author | Hsiung, Pao-Ann. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2024. |
| Description | volumes cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | Intelligent data-driven systems and artificial intelligence |
| Partial contents | Artificial intelligence & IoT: challenges and future directions for data driven system / Syed Muzammil Munawar, Dhandayuthabani Rajendiran, Khaleel Basha Sabjan -- Cloud computing in AI-based data-driven systems : opportunities and challenges / Pwan Whig -- Study on detection of potato diseases using deep learning network and image segmentation / Jagalingam Pushparaj, Sasikala Ramasamy, Sathya Prakash Rai. |
| Abstract | "This book comprehensively discusses the role of cloud computing in artificial intelligence based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides internet of things-based frameworks and advanced computing techniques to deal with online/virtual systems. This book: Covers aspects of security, authentication, and prediction for data-driven systems in heterogeneous environments. Provides data-driven frameworks in combination with the internet of things, artificial intelligence, and computing to provide critical insights and decision-making for real time problems. Showcases deep learning-based computer vision algorithms for enhanced pattern detection in different domains based on data-centric approaches. Examines the role of the internet of things and machine learning algorithms for data-driven systems. Highlights the applications of data-driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science, and 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 | 2024004478 |
| ISBN | 9781032548173 (hbk) |
| ISBN | 9781032805351 (pbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |