Author(s) Name: Renny Fernandez, Terrance Frederick Fernandez
The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.
Table of Contents
1. Sensor Driven Data on Medical Images
2. Machine Learning / Deep Learning Approaches Healthcare Environment
3. IoMT using Sensors by Learning Algorithm
4. Big Data advancements in Nano environments
5. Deep learnt Predictive architecture upon Nano-sensors
6. Data Organization for dull web in Nano-particles
7. Next Gen Technology Towards Nanoids
8. Analysis of Sensor node in e-healthcare
9. Nano-robotic predictive architectures upon Nano-sensors
10. Hybrid Environment towards Healthcare
11. ML/DL hardness Problems for sensor nodes
ISBN: 9788770224154
Publisher: River Publishers
Year of Publication: 2021
Book Link: Home Page Url
