Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning (KICS Fall; Journal)
Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: ICAIIC 2022
Title 4: Light-Weight Attack Method Based on UAV Communication Systems
Target: KICS Winter 2022
Title 5: Comparative Analysis of Various Deep Learning Algorithms in the Detection and Localization of
Multi-UAVs in Real-Time
Title 6: Efficient and Real-Time Light Weight CNN Model For Optimal Drone Detection and Neutralization
Title 2: (a) Completed chapters 4 and 5 of journal
Title 3: (a) Completed and submitted journal
Title 4: Commence and complete chapters 1 and 2
Title 5: Gather more data for simulation to envisage result before commencing paper writing
Title 6: Review more papers and brainstorm with project members for ideas
Title 2: Complete and submit journal
Title 4: Gather datasets for simulation
Title 4: Commence and complete chapters 1 and 2
Title 5: Continue literature search to discover research gaps
Title 6: Review more papers and brainstorm with project members for ideas
Anti- Drone Detection System
a. Prepared and submitedt technical report of the team’s achievement for the semester
b. Labelled and concluded dataset pre-processing stage
c. Continue studying Deep Learning algorithms
a. Begin studying on other techniques of an anti-drone system
b. Continuous studying of ML and DL algorithms
a. Attend a local conference
b. Attend an international conference
c. Acquire in-depth knowledge and usage of Machine Learning and Deep Learning
Submission of journals