Report

Mahinur

November 18, 2024 - November 22, 2024

Papers

Paper 1: Federated Semi-Supervised Digital Twin for Enhanced Human-Machine Interaction in Industry 5.0 (Accepted)
Target: ICTC 2024

Paper 2: FMACNN: Federated Multi-Attention CNN Framework for Artificial Image Detection (Submitted)
Target: IEEE Transactions on Information Forensics and Security

Paper 3: MMNet: Multimodal Neural Network Framework for Emotion Recognition via EEG and Speech (Submitted)
Target: ICT Express

Paper 4: DCFL-Chain: Digital-Twin-Based Collaborative FL-Integrated Energy Consumption Prediction for Smart Factory (Accepted)
Target: KICS Fall-2024

100% Progress
Last Week's Progress

- Implemented DDPM and Stable Diffusion and generated some images.
- Further, fine-tune the model for better image generation.

This Week Todo's

- Implemented DDPM and Stable Diffusion and generated some images.
- Further, fine-tune the model for better image generation.
- Applying image quality enhancer (GAN) on the generated image for better quality image.

Project Progress

Project 1: ITRC Digital Twin
Project 2: Image Analysis on Edge Devices for Daycare Application

40% Progress
Last Week's Project

Project 1:
- Review papers and presentations.

Project 2:
- Implemented CNN and Transformer model for Face Recognition.
- Evaluating the model on various metrics.
- Preparing dataset by adding more classes of actions for Face Recognition and Action Recognition.
- Update project status on leader meeting.

This Week's Project

Project 1:
- Review papers and presentations.

Project 2:
- Implemented CNN and Transformer model for Face Recognition.
- Evaluating the model on various metrics.
- Preparing dataset by adding more classes of actions for Face Recognition and Action Recognition.
- Update project status on leader meeting.
- Project Report writing.

Monthly Goals

- Learning Digital Twin, LLM, Generative AI, Transformers, Encoder-Decoder, Stable Diffusion, and Architectures with implementation.

Annual Goals

- Submit one more Q1 International Journal year.
- Attend international conferences and domestic conferences.