Edge Computational Intelligence for AI-Enabled IoT Systems (PDF)
The book discusses the major contributions in the Edge AI domain of IoT systems: heterogeneous micro clusters employed for processing data and for exploiting adopted AI algorithms for the predictive analysis and or prescription.
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The book discusses the major contributions in the Edge AI domain of IoT systems: heterogeneous micro clusters employed for processing data and for exploiting adopted AI algorithms for the predictive analysis and or prescription.
Jaiprakash Narain Dwivedi is currently working as an Associate Professor, ECE Department, University Institute of Engineering, Chandigarh University, Mohali, Punjab, India. His interest in research includes machine learning, artificial neural network, pattern recognition, classification, CNN, DNN, deep learning and signal processing.
Dinda Pramanta is an Assistant Professor and a committee member of Mathematical-Data Science-AI Educational Program on Kyushu Institute of Information Sciences from 2021. His research interests include spiking neural networks, hardware, and AI for educational purposes.
Yuichiro Tanaka is an Assistant Professor with Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Japan. His research interests include soft computing, neural networks, hardware, and home service robots. He is a member of IEEE and JNNS.
- 2024, 1. Auflage, 346 Seiten, Englisch
- Herausgegeben: Shrikaant Kulkarni, Jaiprakash Dwived, Dinda Pramanta, Yuichiro Tanaka
- Verlag: Taylor & Francis
- ISBN-10: 1003825125
- ISBN-13: 9781003825128
- Erscheinungsdatum: 26.02.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 32 MB
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