Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: (KICS Fall; Journal)
Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: ICAIIC 2022 (Accepted)
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: Improved model’s performance and ran other simulations for comparison
Title 3: (i) Attended and garnered knowledge from ICAIIC conference
(ii) Awaiting review comments
Title 4: Continued with literature survey for paper extension
Title 5: Designed the structure to be adopted for paper writing
Title 2: Extend chapters 3 and 4 of article
Title 4: Put a hold on this to complete journal of Title 2
Title 5: Begin paper writing
Anti- Drone Detection System
i. Began research on the study of the format used by others in the publishing of datasets
ii. Studied other deep learning algorithms
i. Simultaneous studying of Python and MATLAB for computer vision
ii. Hands-on and study on some Machine learning algorithms
i. Attend a domestic conference (Achieved)
ii. Attend at least 2 international conferences (One achieved)
iii. Become proficient on the use of MATLAB for object detection and other machine learning algorithms
iv. Submission of article 2
i. Submission of at least 3 journals
ii. Become an AI expert