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: Received review comments from senior colleagues
Title 3: Awaiting reviews from IEEE Transactions on Vehicular Technology
Title 4: Put a hold on this to complete the journal of Title 2
Title 5: Completed chapter one of the article
Title 2: Implement all review comments and submit it to the target journal
Title 3: Still waiting for review comments while getting ready for winter intensive workshop
Title 5: Continue literature surveys
Anti- Drone Project
i. Presented proposal to embark on RF-based anti-drone system
ii. Engaged in studying the intrinsic technique of RF signals
i. Opting for a change of route from detection techniques to avoidance techniques
ii. Intensively study literature to garner knowledge on the new research focus
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