Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: Computers and Electronics in Agriculture (Under Review)
Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: IEEE Transactions on Vehicular Technology (Under Review)
Title 4: Light-Weight CNN Model for Real-Time Recognition of Miniaturize fleet of UAVs
Target: KICS Winter 2022 (Accepted)
Title 5: Real-Time tracking of miniaturize fleet of UAVs Under Stealth Scenario (Tentative)
Target: MILCON 2022
Title 6: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and
Identification Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems
Title 7: Tentative
Target: KICS Summer 2022
Title 2: Awaiting review comments.
Title 3: Awaiting review comments
Title 5 Continue learning real-time tracking of objects via OpenCV using KCF tracking algorithm
Title 6: Commenced Chapter 2 of group’s paper
Title 2: Awaiting review comments.
Title 3: Awaiting review comments
Title 5: Study related papers on real-time object implementations
Title 6: Suspend paper writing according to leader's instruction
Title: Gather and preprocess dataset for preliminary results
Anti-Drone System
i. Implemented real-time object detection using Python in OpenCV
ii. Prepared ppt for capstone presentation
i. Awaiting scope of new project
ii. Continue studying on real-time object tracking using Python in OpenCV
iii. Study research works on KCF algorithms for real-time object tracking
i. Complete and submit group’s dataset article for possible publication
ii. Attend a domestic conference
iii. Attend at least 2 international conferences (1 achieved)
iv. Acquire in-depth knowledge of the various DL algorithms
v. Become proficient in the use of python for object detection and other machine learning algorithms
vii. Implement tracking algorithms in python effectively
i. Submission of at least 3 journals (1 achieved)
ii. Become an AI expert