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E-book

Title Machine learning for edge computing : frameworks, patterns and best practices / edited by Amitoj Singh, Vinay Kukreja, and Taghi Javdani Gandomani
Edition First edition
Published Boca Raton, FL : CRC Press, 2023
©2023

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Description 1 online resource (x, 189 pages) : illustrations (some color)
Series Edge AI in future computing
Contents Fog Computing And Its Security Challenges / Kamali Gupta, Deepali Gupta, Vinay Kukreja, Vipul Kaushik -- Machine Learning for Edge Computing : Frameworks, Patterns and Best Practices / 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
Summary "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 Includes bibliographical references and index
Notes Amitoj Singh is working as Assistant Professor in the department of Computational Sciences, MRSPTU, Bathinda, Punjab, India. Vinay Kukreja is working as an Associate professor at Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran
Description based on online resource; title from digital title page (viewed on August 19, 2022)
Subject Edge computing.
Machine learning.
Cloud computing.
Artificial intelligence.
Computer security.
Artificial Intelligence
Cloud Computing
Computer Security
Models, Theoretical
Machine Learning
artificial intelligence.
mathematical models.
COMPUTERS / General
COMPUTERS / Machine Theory
COMPUTERS / Computer Engineering
Cloud computing
Edge computing
Machine learning
Form Electronic book
Author Singh, Amitoj, editor.
Kukreja, Vinay, editor.
Gandomani, Taghi Javdani, 1975- editor.
LC no. 2022003447
ISBN 9781003143468
1003143466
9781000609240
1000609243
9781000609233
1000609235