Paper 1: Token-based E-Learning System Harnessing Hyperledger Besu
Target: ICMIC 2024
Paper 2: A Comparative Analysis of Real and AI-Generated Images: Building a Novel Dataset RealAIGD
Target: KICS Summar 2024
Paper 3: A Convolutional Neural Network-Based Approach Utilizing Modified ResNet50 for Anomaly Detection in Manufacturing Execution Systems
- Preparing 10k AI generated dataset and real-life dataset
- Finalizing ICMIC paper
- Creating Hpyerledger Besu network, smart contract, and benchmark
- Finalizing the KICS and ICMIC paper and submitting it.
- Working on the Modified ResNet50 model.
Project 1: Manufacturing Execution Systems.
- Hyperparameter tuning on the Solar PV dataset using VGG16 to improve results.
- 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.
- Learning Deep Learning, Hyperledger Fabric & Besu, Zero Knowledge Proof.
- Publish at least one Q1 International Journal.
- Attend international conferences and domestic conferences.