Title 01:RF signal based drone identification and mode detection using deep convolution neural network
Target : Journal
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target : IEEE Communications letter
Title 03: Residual Convolution Neural Network for Drone Detection and Identification using RF Signal.
Target : ICTC-2020
Title 04: Low Latency and Reliability Issue of IWSN.
Target : KICS Summer-2020
Title 05: Low Latency and Energy Efficient Trickle Algorithm for Low Power Lossy Network in Wireless Sensor Network.
Target : IEEE wireless Communications letter
Title 01:
- Preprocess the dataset.
- Having difficulties to train the model.
Title 02:
- Submitted the paper to IEEE communication Letter.
Title 03:
- Designing the CNN model using python.
- Literature survey of related work.
Title 01:
- Fix the problem of dataset for ten class classification.
Title 02:
- Waiting for the decision.
Title 03:
- Train the CNN model.
- Write Introduction and the proposed model section.
Title 04:
- Complete the system model section.
Anti-drone project
- Drone mode detection and Identification [Target]
- Study about the related work
- In the stage of data preprocessing.
- Drone mode detection and Identification [Target]
- Fix the problem of data preprocessing.
- Compile the system CNN model for verification.
-Learn MATLAB, Machine learning and Artificial Intelligence, Python.
- Complete one paper writing to submit in journal
At-least two SCI journal paper.
-At-least two International Conference