Papers

Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato
Diseases.
Target: IEEE Intelligent Systems (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: Hierarchical Intrusion Detection System for Secured Military Drone Network: A
Perspicacious Approach
Target: MILCOM 2022 (Submitted)

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 (Accepted)

Title 7: Scale Variant and Low Luminance Aerial Recognition Model for Drones and Birds in Ground-to-
Air Networks
Target: IET Intelligent Transport Systems (Under Review)

Last Week's Progress

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments.

Title 4: Completed and submitted the paper to MILCOM

Title 6: Attended and garnered knowledge from KICS conference.

Title 7: Completed and submitted paper for possible publication

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Rejected

Title 4: Awaiting the outcome of the paper from the conference

Title 7: Awaiting reviewers’ comments


Lectures

i. Prepare final presentation for capstone design

ii. Prepare presentation for real-time systems course

Project Progress

Water Quality Monitoring System (WQMS)

Last Week's Project

i. Extensively wrote on existing WQMS and their percentived limitations.

ii. Continued with the writing of the final presentation of the anti-drone project for capstone
presentation

This Week's Project

i. Meet and brainstorm with team members on the next task to embark in.

ii. Complete and submit final report on anti-drone project.

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 ML and 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 (2 achieved)

ii. Become an AI expert