Machine learning for edge computing frameworks, patterns and best practices / edited by Amitoj Singh, Vinay Kukreja, and Taghi Javdani Gandomani.
| Other author | Singh, Amitoj. |
| Other author | Kukreja, Vinay. |
| Other author | Gandomani, Taghi Javdani, 1975- |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton ; London : CRC Press, 2023. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Contents | Fog Computing And Its Security Challenges / Kamali Gupta, Deepali Gupta, Vinay Kukreja, Vipul Kaushik -- An Elucidation for Machine Learning Algorithms Used in Healthcare / Veerpal Kaur, Rajpal Kaur -- Tea Vending Machine from extracts of Natural Tea leaves and other Ingredients : IoT and Artificial Intelligence Enabled / Neha Sharma, Ram Kumar Ketti Ramachandran, Huma Naz, Rishabh Sharma -- Recent Trends in OCR Systems : A Review / Aditi Moudgil, Saravjeet Singh, Vinay Gautam -- A Novel Approach for Data Security using DNA Cryptography with Artificial Bee Colony Algorithm in Cloud Computing / Manisha Rani, Madhvi Popli, Gagandeep -- Various Techniques for Consensus Mechanism in Blockchain / Shivani Wadhwa, Gagandeep -- IoT-inspired Smart Healthcare Service for diagnosing remote patients with Diabetes / Huma Naz, Rishabh Sharma, Neha Sharma, Sachin Ahuja -- Segmentation of Deep Learning Models / Prabhjot Kaur, Anand Muni Mishra -- Alzheimer's disease Classification / M. Sethi, S. Ahuja, V. Kukreja -- Deep learning applications on Edge computing / Naresh Kumar Trivedi, Abhineet Anand, Umesh Kumar Lilhore, Kalpna Guleria -- Designing an Efficient Network-based Intrusion Detection System using Artificial Bee Colony and ADASYN oversampling approach / Manisha Rani, Gunreet Kaur, Gagandeep. |
| Abstract | "This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge"-- 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 |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Machine learning for edge computing First edition. Boca Raton : CRC Press, 2022 9780367694326 |
| Genre/form | Electronic books. |
| LCCN | 2022003447 |
| ISBN | 9781000609240 (epub) |
| ISBN | 9781003143468 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |