Report

Fabliha

August 30, 2021 - September 5, 2021

Papers

Title 01: Enhancing Malicious Activity Classification of IoT Network Traffic Characteristics using Stacked Ensemble Learning
ETFA 2021

Title 02: Smart Factory Floor Safety Monitoring using UWB Sensor.
IEEE Transactions on Circuits and Systems

Title 03: A UWB Sensor Assisted Covid-19 patients Health Status Monitoring using LSTM
ICTC 2021

10% Progress
Last Week's Progress

Title 02:
- Applying BiLSTM to detect normal and abnormal breathing patterns
- Applying Bayesian optimization using ensembles for breathing

Title 03:
- Submitted to ICTC 2021

This Week Todo's

Title 02:
- Applying other related LSTM works to detect normal and abnormal breathing patterns
- Applying public breathing dataset to cross-validate the existing dataset

Title 03:
- Submitted to ICTC 2021

Project Progress

Emergency Detection Application for Smart Home

10% Progress
Last Week's Project

- Labeling dataset into movement and breath
- Applying machine learning algorithms to detect breath signs

This Week's Project

- Applying deep learning to detect movement and breathing
- Creating a new scenario of Thermal-array, vibration sensor, and UWB breathing sensors
- Try to collect datasets using an integrated combination

Monthly Goals

- Learning Stacking Ensemble and feature selection using Matlab
- Finding the solution of emergency using the thermal array
- Finishing summer intensive paper

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal