Paper 1: Token-based E-Learning System Harnessing Hyperledger Besu
Target: KICS Summar 2024 (Submitted)
Paper 2: A Convolutional Neural Network-Based Approach for Anomaly Detection in Manufacturing Execution Systems
- Finalizing the KICS paper and submitting it.
- Working on the ResNet-50 model.
- Evaluating the model results and doing several experiments on the dataset such as Data Augmentation and Gaussian noise to see what results the models provide.
- Writing paper methodology part.
Project 1: Manufacturing Execution Systems.
- Working on the ResNet50 model to apply it to the MvTech Loco Ad dataset for better accuracy.
- Also, on the VGG16 model used on the Solar PV dataset.
- Reading related paper for Capstone presentation.
- Project report writing.
- Learning Deep Learning, Hyperledger Fabric & Besu, Zero Knowledge Proof.
- Publish at least one International Journal.
- Attend international conferences and domestic conferences.