Papers

>


Title 1:
"Real-time Detecting and tracking of UAVs Using Convolutional Neural Network"

Title 2:
"Hybrid Smart Demand Responsive Public Transport System for Conventional Public Transport in City Metropolitan Area"

Title 3:
" Title not fixed " this paper is about using thermal images for COVID-19 paitant detection

Title 4:
"Modified RCNN for anomaly flying in range objects"

thesis:
extended version of title 1 and 4

Last Week's Progress

>

survey papers for Drone detection and object classifiers

contacting other authors trying to find out their simulation codes

working on the video frames for the new dataset

trying to work on CSPNet
trying to run yolov3 on the dataset by debugging the code


>

This Week Todo's

>

title 1:
worked on the collected video already
finish the paper within

thesis:
survey more papers to assure that the proposed CNN is showing better results than previous ones
simulate CSPNet and yolov3 object classifier and modify it to handle its limitations.

after meeting with prof. Lee he gave the next instructions:
1- survey more papers and find the limitations on them.
2- modify my approach to overcome those limitations.
3- compare my results with existing ones.
4- prof. Lee approved my approach to challenge CSPNet.
5- try to clean the dataset from the unclear photos.
6- start writing the thesis since we dont have much of time

>

Project Progress

Anti-Drone

Last Week's Project

>

already worked on a 180 frames of the dataset


>

This Week's Project

>

now trying to run the dataset into the yolov3 classifier

>

Monthly Goals

>

finish my 2 journals and my thesis

>

Annual Goals

>

graduate

>