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 )
Title 2: (i) Carried out similarity index check
(ii) Submitted manuscript
Title 3: Awaiting review comments
Title 5: (i) Gathered dataset and understood its peculiarities
(ii) Train and test some DL models with dataset
Title 2: Awaiting review comments
Title 3: Awaiting review comments
Title 5: Study and learn how to implement KCF for tracking purpose
Anti-Drone System
i. Continue literature surveys on jamming and spoofing neutralization techniques
ii. Learn signal transformation from time to frequency domain using Fourier Transform
i. Study and learn KCF for tracking drones
ii. Continue studying DL models for object detection
i. Complete and submit group’s dataset article for possible publication
ii. Attend at least 2 international conferences
iii. Acquire in-depth knowledge of the various DL algorithms
iv. Become proficient in the use of MATLAB for object detection and other machine learning algorithms
v. Submission of article 2 for possible publication (Achieved)
i. Submission of at least 3 journals (1 achieved)
ii. Become an AI expert