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: Gathered more datasets and ran simulations for model comparison.
Title 3: Completed and submitted journal
Title 4: Prepared power point for conference presentation
Title 5: Literature Surveys
Title 2: Still working on model’s optimal performance
Surf for new datasets to ascertain challenge of model’s poor performance
Title 3: Prepare power point for presentation during conference
Title 4: Review more papers to work on future goals of the paper
Title 5: Continue to review more papers to discover new ideas on research gaps in anti-drone system
Anti- Drone Detection System
i. Completed and submitted compressed version of team’s dataset
ii. Studied other deep learning algorithms
i. Continue studying on other techniques employed by anti-drone system
ii. Study other deep learning algorithms
a. Attend a domestic conference (Achieved)
b. Attend at least 2 international conferences
c. Become proficient on the use of MATLAB for object detection and other machine learning algorithms
a. Submission of at least 3 journals
b. Become an AI expert