Report

Vivian

June 7, 2022 - June 13, 2022

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: 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 (Accepted)

55% Progress
Last Week's Progress

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Completed real-time detection of moving objects
ii. Studied the different algorithms used for real-time object tracking

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Design the system model.
ii. Run simulations on different models to select the optimal.
iii. Complete chapter 3 of paper

Lectures
i. Attend imminent quizzes
ii. Brainstormed with colleagues on how to submit deep Learning course term’s paper

Project Progress

Water Quality Monitoring

10% Progress
Last Week's Project

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

This Week's Project

i. Attend to tasks allocated to me by the project leader.
ii. Continue studying other water quality monitoring systems to get acquainted with the tasks ahead.
iii. Wrap up anti-drone project achievement based on capstone design timeline

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 (2 achieved)

ii. Become an AI expert