Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles - ACCEPTED
Paper 2: ML Blockchain-based Malicious Node Detection and Isolation (Tentative)
Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles - ACCEPTED
Paper 2: Continued machine Learning model optimization and comparison with different optimization methods.
Experimented with new optimization methods and compared results with previously achieved results.
Title 2: Finalize ML model optimization
Literature research about implementing Federated Learning for malicious node isolation in IoV
PurePet: Vet user page UI integration with the back end
Poind: Data augmentation using GAN for steel image dataset.
Digital Twin for Bridge
PurePet: Designed vet UI pages: integrating login and sign-up pages with the database.
Poind: Continued studying about using GAN for generating images.
Digital Twin for Bridge: Had a meeting with the project leader.
Received an overview of the project requirements and plan
PurePet: Continue connecting Vet user pages to a database
Poind: Receive tasks from the project leader
Digital Twin for Bridge: Learn Blender
background research about Digital Twin for Bridge
Study similar use cases
1. Study Blender
2. Integrate Unity with 3D models
3. Study Federated Learning
1. Submit at least 2 journals.
2. Submit and attend at least one NSL approved domestic conference.
3. Submit and attend one NSL approved international conference.