Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: Computers and Electronics in Agriculture
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: Tentative Research topic
Title 2: Implemented all review comments while waiting for professor’s approval
Title 3: Prepared for lab's workshop while waiting for journal’s update
Title 5: Continued literature surveys
Title 2: (i) Carry out similarity index check
(ii) Optimistic for submission this week
Title 3: Awaiting review comments
Title 5:(i) Gather dataset and understand its peculiarities
(ii) Train and test some DL models with dataset
Anti- Drone Project
i. Opted for a change of route from detection techniques to neutralization techniques
ii. Intensively studied literature to garner knowledge relating to the new research focus
i. Continue literature surveys on jamming and spoofing neutralization techniques
ii. Learn signal transformation from time to frequency domain using Fourier Transform
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
i. Submission of at least 3 journals
ii. Become an AI expert