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

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


Lectures

1. Met and brainstormed with coursemates on deep learning end-of-semester project.
2. Studied and prepared for IGG176 seminar presentation.

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Still working on debugging errors in code
ii. Re-run and test code for real-time object detection

Project Progress

Water Quality Monitoring

Last Week's Project

i. Met and brainstormed with team members on how to work progressively on the new project

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

iii Research and fix errors on the tracking codes.

This Week's Project

i. Review papers relating to the new project
ii. Present reviewed papers during capstone design class
iii. Continue studying real-time object tracking with Python in OpenCV

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 tracking in real-time

Annual Goals

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

ii. Become an AI expert