Papers

Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep Learning (Journal)

Title 3: Real-Time Aerial recognition and supervision of UAVs using Very Deep Convolutional Neural Networks

Last Week's Progress

i. Gathered datasets for simulation

ii. Completed chapter 2 of Paper 3

iii. Reviewed several papers to garner more knowledge and ideas

This Week Todo's

i. Gather more datasets and commence simulation for paper 3

ii. Complete chapters 3 and 4 of Paper 3

iii. Commence journal of KICS paper (paper 2)

iv. Study and review more related papers

Project Progress

Anti- Drone Project

Last Week's Project

i. Labeled more datasets for the team’s project

ii. Designed a CNN model with the team’s dataset

iii. Continuous study of Machine Learning and Artificial Intelligence

This Week's Project

i. Create and train a YOLO model with the team’s dataset

ii. Continue data labeling for the team’s project

iii. Study and research on Very Deep Convolutional Neural Networks

iv. Practical hands-on Machine Learning

Monthly Goals

i. Submit paper for KICS conference (achieved)

ii. Submit a paper for international conference(achieved)

iii. Acquire in-depth knowledge and usage of Machine Learning and Deep Learning

Annual Goals

i. Submission of at least a journal