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 1
[1]. Improved the architecture.
Title 2
[1]. Dataset enhancement.
[2]. Applied micro-Doppler signature analysis methods to a dataset.
[3]. Trained the architecture over different batch sizes.
Title 4
[1]. Related works chapter.
[2]. Background chapter.
[3]. System model (90%).
Title 1
[1]. Investigate the possibility for further improvement.
Title 3
[1]. Continue with dataset enhancement.
[2]. Continuing Applying micro-Doppler signature analysis methods to a dataset.
[3]. Add more comparison results and finalize result and discussion section.
[4]. Improve the readability of the paper.
Title 4
[1]. Meet Prof. Lee for the discussion on the thesis progress.
[2]. Start results and discussion chapter.
Anti-Drone
[1]. Pre-processed the open-source dataset.
[2]. Literature review on Intelligent transportation system.
[1]. Continue with the pre-processing.
[2]. Continue with Literature review on Intelligent transportation system.
[1]. Master MATLAB communication, deep learning, Phased Array System, and optimization toolboxes.
[2]. Finish the Thesis writing.
[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.
[4]. Defend and submit Masters thesis