Papers

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

Last Week's Progress

Title 2: Gathered new dataset for training of model.

Title 3: Prepared power point for conference presentation

Title 4: : Reviewed more papers to work on future goals of the paper


Title 5: Literature Surveys

This Week Todo's

Title 2: Complete and submit journal

Title 3: Attend conference

Title 4: Continue with literature survey

Title 5: Begin paper writing

Project Progress

Anti- Drone Detection System

Last Week's Project

i. Made ready dataset for public consumption
ii. Brainstormed with team members on ongoing article on team’s dataset

This Week's Project

i. Continue studying on other techniques employed by anti-drone system
ii. Study other deep learning algorithms

Monthly Goals

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

Annual Goals

i. Submission of at least 3 journals
ii. Become an AI expert