Made Adi Paramartha Putra
- Title 6: Data Prediction-Based Energy-Efficient Architecture in Industrial Internet of Things - IEEE Sensors Journal(Submitted)
- 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 (Rejected)(On Revision)
- Title 11: FDPR: A Fog Data Prediction and Recovery Algorithm in IoT Networks- Winter Intensive - IEEE Transactions on Industrial Informatics (Rejected) (On Revision)
- Title 12: Towards Delay Aware Data Recovery using Deep Learning in Embedded IoT Application - KICS Winter 2022 (Accepted)
- Title 13: Adaptive Data Prediction Protocol for IoT Application - IEEE Journal
- Title 14: Design and Implementation of 3D Printer Monitoring System for Industries - ICT Express - 3D Printer Project
- Title 15: IDS Survey - with Gabriel and Mark
- Title 16: Time-efficient Sensor Data Prediction using iDC-MLP Algorithm for Industrial IoT - ETFA 2022 -> ICC 2023 (Submitted)
- Title 17: 3DFed: A Secure Federated Learning-based System for Fault Detection in 3D Printer Industry - ICTC 2022 (Accepted)
- Title 18: ACS: Accuracy-Based Client Selection Mechanism for Federated Industrial IoT - Internet of Things - Summer Intensive 2022 (Accepted)
- Title 19: DL-Based AUV Position Prediction Using Odometry Data for Internet of Underwater Things - ICMIC 2022 (Accepted)
- Title 20: Hierarchical Federated Transfer Learning for Efficient Fault Detection in Additive Manufacturing - IEEE TNSM Special Issue on FL (Submitted)
- Title 21: Towards Accuracy-Aware Client Selection in Federated Learning - KICS Fall 2022 (Accepted)
- Title 22: Federated Learning-Enabled Digital Twin for Smart Additive Manufacturing Industry - ICAIIC 2023 (Submitted)
-Title 23: Three-Stage Optimization for Efficient Federated Learning in Industrial IoT Network - IoT Journal (Winter Intensive 2023)
Title 11: Winter Intensive 2021
- Continue to work on the revision
- Discussion with Dr. Cosmas
- Search for the next journal submission option
Title 18: Summer Intensive 2022
- Update the journal information on the website
Title 20: ICC 2023 / IEEE TNSM
- Paper submitted
- Waiting for review comments
Title 22: ICAIIC
- Submit Camera Ready version
Title 23: IoT Journal
- Perform simulation work
- Redesign the stage concept
- Conduct an additional literature review
Title 11: Winter Intensive 2021
- Continue to work on the revision
- Discussion with Dr. Cosmas
- Finalize the work on the IEEE IoTJ submission
Title 20: ICC 2023 / IEEE TNSM
- Paper submitted
- Waiting for review comments
Title 22: ICAIIC
- Prepare for conference registration
Title 23: IoT Journal
- Prepare the second phase winter intensive
- Conduct an additional literature review
3D Printer Monitoring & Dataset Validation
- Split 100% dataset into several parts
- Distribute the dataset validation process to each member
- Start the dataset validation
- Finalize the final report for the dataset validation
- Update the program development status on GitHub
- Submit Revision for Summer and Winter Intensive 2021 ( )
- Submit 3D dataset to IEEE Dataport (✓)
- Collect preliminary results for Winter Intensive 2022 ( )
- Submit one journal paper related to Federated Learning and Blockchain to Elsevier IoT (✓)
Accepted in 2 Local and International Conference: ()
- ICAIIC (✓)
* Accepted in 2 Journal (SCI / SCIE):
- Submission to IEEE Sensors Journal (Under Review)
- Submission to IEEE TNSM (Under Review)