Papers

Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: Computers and Electronics in Agriculture (Under Review)

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: Real-Time tracking of miniaturize fleet of UAVs Under Stealth Scenario (Tentative )

Last Week's Progress

Title 2: Awaiting review comments

Title 3: Awaiting review comments

Title 5: Continued studying KCF tracking

This Week Todo's

Title 2: : Awaiting review comments.

Title 3: Awaiting review comments

Title 5: Paused to complete group’s paper

Lectures: Prepare for Deep Learning course presentation as well as midterm examination.

Project Progress

Anti-Drone System

Last Week's Project

i. Working on KCF algorithms in OpenCV

ii. Gather published image-based UAV datasets for comparison

ii. Continued studying on DL models used in computer vision

This Week's Project

i. Integrate drone detection technique and KCF tracking technique in python

ii Complete chapter 2 of group’s article

ii. Continue studying on DL models used in computer vision

Monthly Goals

i. Complete and submit group’s dataset article for possible publication

ii. Attend at least 2 international conferences (1 achieved)

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 (Achieved)

vi. Implement tracking algorithms in python effectively

Annual Goals

i. Submission of at least 3 journals (1 achieved)

ii. Become an AI expert