Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
Target : IET Communication journal.
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target : IEEE Transactions on Vehicular Technology
Title 03: Residual Convolution Neural Network for Drone Detection and activity recognition using RF Signal.
Target : IEEE Transactions on Vehicular Technology
Title 04: RF-Based UAV Surveillance System: A sequential Convolution Neural Network.
Target : ICTC-2020
Title 01:
- Write proposed system model section
- Attach the comparison graph and drone detection graph.
- Attach the performance comparison table.
Title 02:
- waiting for the review from IEEE Transactions on Vehicular Technology.
Title 03:
- Study to design a Deep learning model.
- analyzing the RF signal
- test the regression model
Title 04:
-Done with ICTC conference
Title 01:
- Complete simulation and result discussion section
Title 02:
- waiting for the review from IEEE Transactions on Vehicular Technology.
Title 03:
- Study to design a Deep learning model.
- analyzing the RF signal
Title 04:
-Done with ICTC conference
Anti-drone project, smart-home project
- Study about how to generate image from video
- Create 100 ground truth value for image module
- Complete a video documentation about vision based module
- Distribute task to the team member and attend project leader meeting
- Do a video recording from enother drone
-Produce Ground truth value for more frame
-Learn MATLAB, Machine learning and Artificial Intelligence, Python, LabView
- Complete one paper writing to submit in journal
-At-least two SCI journal paper.
-At-least two International Conference