Papers

Paper 1: Advanced Education and Evaluation using Token-based E-Learning Model Harnessing Hyperledger Besu
Target: ICMIC 2024

Paper 2: Collaborative Learning based Real and AI-generated image detection (Intuitive)
Target: KICS Summar

Paper 3: Anomaly Detection in management execution systems (Intuitive)

Last Week's Progress

- Writing Paper 1 methodology part with results simulation, system model, and deciding title.
- Writing Smart Contracts for Logistics

This Week Todo's

- Completing the methodology part and intro, related work, and conclusion references.
- Reading papers on anomaly detection from images, token-based learning, real and AI-generated image detection, secure collaborative learning, federated learning
- Installing Hyperledger Fabric, Caliper Benchmark, Hyperledger Besu

Project Progress

Project 1: Manufacturing Execution Systems

Last Week's Project

- Trying new models (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet) and data augmentation on the previous model.
- Studying the licensing and usability of open-source models like VGG16, and YOLOv8

This Week's Project

- Working on the Solar PV dataset to detect anomalies using VGG16
- Trying new models (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet) and data augmentation on the previous model

Monthly Goals

- Learning Deep Learning, Hyperledger Fabric, Besu, Caliper Benchmark, DDS.

Annual Goals

- Publish at least one Q1 International Journal.
- Attend international conferences and domestic conferences.