Made Adi Paramartha Putra
- Title 6: Data Prediction-Based Energy-Efficient Architecture in Industrial Internet of Things - IoT Special Issue (Resubmitted)
- Title 7: Efficient 3D Printer Fault Classification using Multi-Block 2D Convolutional Neural Network - KICS Journal (Accepted)
- Title 8: Composite Multi-Directional LSTM for Accurate Prediction of Energy Consumption - ICOIN (Accepted)
- Title 9: Fault Detection in 3D Printers using an Improved YOLOv5 with Hyperparameter Tuning - KICS Fall 2021 (Accepted)
- Title 10: FDP: A Fog Data Prediction Testbed Architecture to Enhance IoT Sensor Lifetime - ICC (Submitted)
- Title 11: Implementation and Evaluation of Testbed Architecture for IoT Data Prediction - Winter Intensive - IEEE Embedded System Letters
- Title 12: Towards Delay Aware Data Recovery using Deep Learning in Embedded IoT Application
- Title 13: Adaptive Data Prediction Protocol for IoT Application - IEEE Journal
Title 6: IEEE IoT Journal
- Waiting for Review
Title 10: ICC 2022
- Waiting for Review
Title 11: IEEE Embedded System Letters
- Start gathering the dataset
- Considering the evaluation scenarios
Title 12:KICS Winter 2022
- Create system design
- Writing Paper
Title 6: IEEE IoT Journal
- Waiting for Review
Title 10: ICC 2022
- Waiting for Review
Title 11: IEEE Embedded System Letters
- Monitoring datasets Gathering
- Check missing data filling method
Title 12:KICS Winter 2022
- Testbed evaluation
- Finalize paper
3D Printing Monitoring
- Design the architecture for the next project goals
- Prepare for the dataset gathering with seven sensors
- Learn GUI using pyqt5
- Socket Programming Python
- Finalize 3D Project with Conception
- Move to Conception to implement testbed implementation
- Evaluate Test Scenario of the system based on project requirement
- Finish 3D Project with Conception ( )
- Submit to KICS Winter ( )
- Present to ICOIN Conference ( )
- Finish gathering dataset for Winter Intensive ( )
* Accepted in 2 Local and International Conference: ()
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* Accepted in 2 Journal (SCI / SCIE):
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