IIoT using Machine Learning Technique
[1] Title: A CNN-Based Human Fall Detection using Thermal Array Sensor
- Re-assess the dataset and eliminate 0 value examples from dataset
- Re-train the model and achieve result of 98.75% (CNN-LSTM) and 95.95% (LSTM)
- Paper survey to support ideas in process of writing the result into paper
[1] Continue on writing paper for KICS (A CNN-Based Human Fall Detection using Thermal Array Sensor)
[2] Examine the result for further enhancement
IoT applications for Smart Home
[1] Write research note of IoT project and submit it to fabliha and rani for further supervision
[2] Enhance the current result of training the model and achieve result of 98.75% (CNN-LSTM) and 95.95% (LSTM)
[3] Write the result of fall detection project for my KICS paper
[1] Continue on writing paper for KICS (A CNN-Based Human Fall Detection using Thermal Array Sensor)
[2] Examine the result for further enhancement
[3] Finish Research Note and report it to Cosmas
[1] Finish the KICS paper
Submit conference and/or iot journal page