Made Adi Paramartha Putra
- Title 6: Data Prediction-Based Energy-Efficient Architecture in Industrial Internet of Things - IEEE Sensors Journal(Accepted)
- 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 -> FDPR)
- Title 11: FDPR: A Fog Data Prediction and Recovery Algorithm in IoT Networks- Winter Intensive - IEEE IoT Journal (Accepted)
- 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 (X)
- Title 14: Design and Implementation of 3D Printer Monitoring System for Industries - ICT Express - 3D Printer Project (X)
- Title 15: IDS Survey - with Gabriel and Mark (X)
- Title 16: Time-efficient Sensor Data Prediction using iDC-MLP Algorithm for Industrial IoT - ETFA 2022 -> ICC Workshop 2023 (Rejected -> Under Revision -> X)
- 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 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 (Accepted)
-Title 23: Three-Stage Optimization for Efficient Federated Learning in Industrial IoT Network - IEEE TII (Under Review)
-Title 24: Select Industrial Internet of Things (IIoT)-Based Fault Mitigation for Smart Additive Manufacturing - IEEE Access (Accepted)
Title 25: ECSM: An Ensembled Client Selection Mechanism for Efficient Federated Learning - The IEEE International Conference On Industry 4.0, Artificial Intelligence, And Communications Technology (Accepted)
Title 26: Blockchain-based federated learning for bearing fault detection in the industrial Internet of things - Seventh Information Systems International Conference (ISICO 2023) -> ICTC 2023 (Submitted)
Title 27: Proof of Authority-based Federated Learning for Bearing Fault Detection in Smart Factory - KICS Summer 2023 (Accepted)
Title 28: Historical Data Aware Sensor Data Prediction for Internet of Things Longevity - ICMIC 2023 (Accepted)
Title 29: PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain - Summer Intensive 2023 - IEEE IoTJ (Submitted)
Title 24: IEEE Access
- Check the early access version
Title 28: ICTC 2023
- Start preparing presentation material
- Reserve conference accommodation
Title 29: Summer Intensive 2023
- Submit the initial paper version for internal review
- Revise the paper based on the review and then submit it to IEEE IoT
Title 28: ICTC 2023
- Attend ICTC Conference
Title 29: Summer Intensive 2023
- Submitted
Medical IoT with Blockchain (PureMedic)
- Integration with PureChain network
- Design a new design for the Hospital Entities
- Add data structure for the new database ecosystem
- Finish Section IV-V of PhD dissertation ( )
- Apply for PhD thesis defense ( )
* Accepted in 2 Journal (SCI / SCIE): -> (✓) -> Total 4 Journal
- Accepted on IEEE IoTJ (✓) -> FDPR
- Accepted on IEEE Sensors Journal (✓) -> Energy-efficient data prediction
- Accepted on Elsevier EAAI w/ Syifa (✓) -> Digital Twin 3D Printer
- Accepted on IEEE Access w/ Gino (✓) -> Fault Prediction
******** On progress ********
- Submission to Elsevier IoT (Under Review)
- Submission to IEEE IoTJ (Under Review)
- Submission to IEEE JSAC w/ Zai (Under Revision)