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 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)

Last Week's Progress

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Design the system model.
ii. Ran simulations on different models to select the optimal model.
iii. Completed chapter 2 and began chapter 3 of paper


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

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: i. Complete preprocessing of the unstructured dataset and run simulations.
ii. Complete chapters 3 and 4 of paper

Title 6: Prepare power point for poster submission


Lectures

i. Prepare for Deep learning course exams

ii. Prepare python code for Deep learning project simulations

Project Progress

Water Quality Monitoring System (WQMS)

Last Week's Project

i. Attended to tasks allocated to me by the project leader.
ii. Continued studying on other water quality monitoring systems to get acquainted with the tasks ahead.
ii. Brainstormed with team members on project’s requirements and tasks
iii. Wrap up anti-drone project achievement based on capstone design timeline

This Week's Project

i. Research on different water quality monitoring systems and their specifications.
ii. Meet with team members and discuss how to improve the existing system.
iii. Continue with the writing of the final presentation of the 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