Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
Target: Computer Networks.
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target: IEEE Transactions on Vehicular Technology
Title 03:Analysis and Prediction of Hourly Energy Consumption Based on Long Short-Term Memory
Neural Network.
Target: ICOIN 2021
Title 04: Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition [Processing]
Target: IEEE Transactions on Vehicular Technology
Title 05: CNN-Based Drone Detection in Multi-variant Environment [Title not fixed yet]
Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
-The paper now under review.
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
- Perform Two simulations as per reviewer comments.
- Analysis of the complexity through FLOP calculation.
Title 03:Analysis and Prediction of Hourly Energy Consumption Based on Long Short-Term Memory
Neural Network.
- The paper has accepted at the ICOIN conference
Title 04: Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition [Processing]
- Applied the CFAR technique to remove noise from the dataset.
Title 05: CNN-Based Drone Detection in Multi-variant Environment [Title not fixed yet]
Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
-The paper now under review.
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
- Justify the proposed model is efficiency
- Complete first reviewer comments.
- Analysis of the complexity through FLOP calculation.
Title 03:Analysis and Prediction of Hourly Energy Consumption Based on Long Short-Term Memory
Neural Network.
- Prepare the presentation file and complete the video presentation to upload is to ICOIN conference site.
Title 04: Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition [Processing]
- Preprocess the dataset.
Title 05: CNN-Based Drone Detection in Multi-variant Environment [Title not fixed yet]
- Create 500 dataset from DJI phantom
Anti-drone project
- Explore the real data collection area.
- Survey of current work to combine and extended dataset.
- Collect one video from the parrot 2 drone
- Distribute the task among the project member.
- Collect one sample of RFDataset
- Process 600 data labeling. IF AJ and ALI provide me the data frame.
-Learn MATLAB, Machine learning, and Artificial Intelligence, Python, LabView
- Complete one paper writing to submit in journal
-At-least two SCI journal papers.
-At-least two International Conference