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-Enabled Automatic Modulation Recognition in Intelligent Radio Spectrum Sensing (Pr)
Target: Masters Thesis
Title 1
[1]. Improved the architecture.
[2]. Performed some experiments.
Title 2
[2]. Improved the readability of the paper.
Title 3:
[1]. Read the literatures on how the dataset is manipulated by adding synthetic impairments.
Title 4:
[1].Preparation of Response latter to reviewers' comments.
Title 1
[1]. Investigate the room for further improvement
Title 2
[1]. Perform more experiments for more results.
[2]. Continue working on the readability.
Title 3:
[1]. Continue with literatures and regenerate the dataset by adding impairments.
Title 4:
[1].Preparation of Response latter to reviewers' comments.
Anti-Drone
[1]. Dataset pre-processing and regeneration
[1]. Dataset pre-processing and regeneration
[1]. Master MATLAB communication, deep learning, Phased Array System, and optimization toolboxes.
[2]. Finalize results for Title 1 & complete title 2.
[3]. Submit the Thesis report.
[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