GNS-DLR 2020: Gravitating Nano-sensory Drift Towards Deep Learning Analysis, Modelling and Research |
Website | https://sites.google.com/view/gns-dlr-2020/home |
Abstract registration deadline | December 5, 2020 |
Submission deadline | December 31, 2020 |
Scope
The proposed book is centrally focussed on Human computer Interaction and how the sensors within the small and wide groups of Nanorobots employ deep learning for applications in industrial applications. It covers a wide array of topics that are useful for the researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, we will explore deep learning approaches to enhance the accuracy of AI systems applied in medical robotics in surgical techniques
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
The submission template can be found through this link : LaTeX template, MS Word template .
The following paper categories are welcome/ yet not limited to:
- Machine Learning.
- Deep Learning.
- Big Data in healthcare.
- IoMT(Internet of Medical Things).
- Nano Sensors upon medical images.
- Issues in Sensor data.
- Sensors in e-healthcare.
- Data Organisation for dull web.
- Next Gen Technology towards Nanoids.
- Robots in Nano-engineering.
- Deep learnt medical diagnosis
Editorial Board
- Prof.Dr. Renny Fernandez, Assistant Professor, Norfolk State University, Virginia-USA
- Dr. Terrance Frederick Fernandez
- Mr. Aravindan .C
Publication
GNS-DLR 2020 proceedings will be published by River Publishers Carmel, USA
Contact
All questions about submissions should be emailed to aravindan.c007@gmail.com or frederick@pec.edu