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Machine Learning for Edge Computing Amitoj Singh

Machine Learning for Edge Computing By Amitoj Singh

Machine Learning for Edge Computing by Amitoj Singh


$147.89
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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.

Machine Learning for Edge Computing Summary

Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices by Amitoj Singh

  • Introduces edge computing, hardware for edge computing AI, edge virtualization techniques
  • Explores edge intelligence and deep learning applications, training and optimization
  • Explains machine learning algorithms for edge
  • Reviews AI on IoT Discusses future edge computing needs

About Amitoj Singh

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.

Table of Contents

1. Fog Computing And Its Security Challenges. 2. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. 3. Tea Vending Machine from extracts of Natural Tea leaves and other ingredients: IoT and Artificial Intelligence Enabled. 4. Recent Trends in OCR Systems: A Review. 5. A Novel Approach for Data Security using DNA Cryptography with Artificial Bee Colony Algorithm in Cloud Computing. 6. Various Techniques for Consensus Mechanism in Blockchain. 7. IoT inspired Smart Healthcare Service for diagnosing remote patients with Diabetes. 8. Segmentation of Deep Learning Models. 9. Alzheimer's disease Classification. 10. Deep learning applications on Edge computing. 11. Designing an Efficient Network based Intrusion Detection System using Artificial Bee Colony and ADASYN oversampling approach.

Additional information

NPB9780367694326
9780367694326
0367694328
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices by Amitoj Singh
New
Hardback
Taylor & Francis Ltd
2022-07-29
190
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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