Title 1: Automatic Modulation Recognition using Deep CNN with Multilevel Fusion Mechanism (Pr)
Target: IEEE Transactions on Cognitive Communications and Networking
Title 2: Deep Learning Based percentptual System Using Micro-Doppler Signatures in Autonomous Vehicles (Pr)
Target: KICS winter 2021
Next target: Pattern Recognition Letters (Elsevier)
Title 3: Convolutional Neural Network for Drone Detection and Classification on Edge Devices (Pr)
Target: Signal Processing (Elsevier)
Title 4: Deep learning-based Modulation Recognition in Intelligent Spectrum Sensing Applications (Pr)
Status: Masters Thesis
Title 3
[1]. Pre-processing more data samples and enhance the dataset.
Title 4
[1]. Meet Prof. Lee to present the progress and discuss the scope of the thesis
[2]. Started related works Chapter.
Title 1
[1].Improve the architecture for more promising results.
Title 3
[1]. Continue with dataset enhancement.
Title 4
[1]. Meet Prof. Lee for the presentation of thesis progress.
[2]. Continue with Literature related works chapter.
Anti-Drone
[1]. Pre-processed the open-source dataset.
[1]. Continue with the pre-processing.
[1]. Master MATLAB communication, deep learning, Phased Array System, and optimization toolboxes.
[2]. Finalize the winter intensive.
[3]. Finish the first three chapters of the Thesis.
[1]. To submit at least one paper to the SCI journal.
[2]. Attend international and domestic conferences recommended by NSL.
[3]. Acquiring knowledge and skills on NSL technical tools.