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: Real-Time tracking of the miniaturized fleet of UAVs Under Stealth Scenario (Tentative)
Target: ICTC 2022

Title 5: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and
Identification Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems

Title 6: Scalable Out-of-Core Learning Model for Intrusion Detection System in the Internet of Drones
Target: KICS Summer 2022 (Submitted)

Last Week's Progress

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: Studied and compared other tracking algorithms based on speed and computational complexity.

Title 5: Resumed group’s paper writing.

Title 6: Completed and submitted the paper

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Working on debugging errors in code.
ii. Continue study on different tracking algorithms

Title 5: Completed Chapter 2 of the team’s paper
ii. Awaiting next task allocation


Lectures

1. Meet and brainstorm with coursemates on Deep Learning end of semester project.
2. Study and prepare for IGG176 seminar presentation.

Project Progress

Anti-drone detection system

Last Week's Project

i. Awaiting the scope of the new project

ii. Continue studying real-time object tracking using Python in OpenCV

iii. Studied research works on KCF algorithms for real-time object tracking as well as compare it with
other tracking algorithms

This Week's Project

i. Meet and brainstorm with team members on how to work progressively on the new project

ii. Continue studying real-time object tracking using Python in OpenCV

iii Research and fix errors on the tracking codes.

Monthly Goals

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

ii. Attend a domestic conference

iii. Complete and submit ICTC paper.

iv. Acquire in-depth knowledge of the various DL algorithms

v. Become proficient in the use of python for object detection and other machine learning algorithms

vii. Implement object tracking algorithms in python effectively in real-time.

Annual Goals

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

ii. Become an AI expert