Machine Learning for Edge Computing by Amitoj Singh
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.-
Industry 5.0 for Smart Healthcare Technologies
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Sentiment Analysis Unveiled
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AI-Driven IoT Systems for Industry 4.0
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Edge Artificial Intelligence
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Soft Computing
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Big Data and Edge Intelligence for Enhanced Cyber Defense
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Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
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Edge-AI in Healthcare
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Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders
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Computational Statistical Methodologies and Modeling for Artificial Intelligence
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Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector
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Internet of Things
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.
| SKU | Unavailable |
| ISBN 13 | 9780367694326 |
| ISBN 10 | 0367694328 |
| Title | Machine Learning for Edge Computing |
| Author | Amitoj Singh |
| Series | Edge Ai In Future Computing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2022-07-29 |
| Number of pages | 190 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |