Made Adi Paramartha Putra

IEEE Internet Things J., May, 2024

Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT.

[BibT_eX]

[DOI]

Internet Things, April, 2024

TSFed: A three-stage optimization mechanism for secure and efficient federated learning in industrial IoT networks.

[BibT_eX]

[DOI]

Internet Things, 2024

PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network.

[BibT_eX]

[DOI]

IEEE Access, 2024

Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Toward Fast and Accurate Sensor Data Prediction Using iDC-MLP Algorithm for Industrial IoT.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2024

TLFed: Federated Learning-based 1D-CNN-LSTM Transmission Line Fault Location and Classification in Smart Grids.

[BibT_eX]

[DOI]

Paul Michael Custodio

Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

Collaborative Decentralized Learning for Detecting Deepfake Videos in Entertainment.

[BibT_eX]

[DOI]

Nengah Widya Utami

I Gede Juliana Eka Putra

Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

Collaborative Decentralized Learning for Detecting Bearing Faults in Industrial Internet of Things.

[BibT_eX]

[DOI]

Nengah Widya Utami

Proceedings of the 29th IEEE Asia Pacific Conference on Communications, 2024

2023

FDPR: A Novel Fog Data Prediction and Recovery Using Efficient DL in IoT Networks.

[BibT_eX]

[DOI]

Ade Pitra Hermawan

Cosmas Ifeanyi Nwakanma

IEEE Internet Things J., October, 2023

ACS: Accuracy-based client selection mechanism for federated industrial IoT.

[BibT_eX]

[DOI]

Internet Things, April, 2023

3DVis: A Layer-wise Fused Deposition Modeling 3D Printer Fault Detection Dataset.

[BibT_eX]

[DOI]

Love Allen Chijioke Ahakonye

Mark Verana

Dataset, January, 2023

Digital twin-enabled 3D printer fault detection for smart additive manufacturing.

[BibT_eX]

[DOI]

Jae Min Lee

Dong Seong Kim

Eng. Appl. Artif. Intell., 2023

Industrial Internet of Things-Based Fault Mitigation for Smart Additive Manufacturing Using Multi-Flow BiLSTM.

[BibT_eX]

[DOI]

IEEE Access, 2023

3D-AmplifAI: An Ensemble Machine Learning Approach to Digital Twin Fault Monitoring for Additive Manufacturing in Smart Factories.

[BibT_eX]

[DOI]

IEEE Access, 2023

HFTL: Hierarchical Federated Transfer Learning for Secure and Efficient Fault Classification in Additive Manufacturing.

[BibT_eX]

[DOI]

IEEE Access, 2023

Toward Accurate Fused Deposition Modeling 3D Printer Fault Detection Using Improved YOLOv8 With Hyperparameter Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2023

Blockchain-aided Decentralized Collaborative Automatic Modulation Classification for Next-Generation Wireless Networks.

[BibT_eX]

[DOI]

Rubina Akter

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Blockchain-based Federated Learning for Bearing Fault Detection in the Industrial Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Blockchain-Based Decentralized Trust Aggregation for Federated Cyber-Attacks Classification in SDN-Enabled Maritime Transportation Systems.

[BibT_eX]

[DOI]

Rubina Akter

Proceedings of the IEEE International Conference on Communications, 2023

Federated Learning-Enabled Digital Twin for Smart Additive Manufacturing Industry.

[BibT_eX]

[DOI]

Love Allen Chijioke Ahakonye

Augustin Gohil

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

FLB2: Layer 2 Blockchain Implementation Scheme on Federated Learning Technique.

[BibT_eX]

[DOI]

Augustin Gohil

Love Allen Chijioke Ahakonye

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Optimal Tree Bayesian for the Characterization of Ciphered Network Communication Traffic.

[BibT_eX]

[DOI]

Cosmas Ifeanyi Nwakanma

Augustin Gohil

Jae Min Lee

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Leveraging Fog Layer Data Prediction Using Deep Learning for Enhanced IoT Sensor Longevity.

[BibT_eX]

[DOI]

Proceedings of the 28th Asia Pacific Conference on Communications, 2023

2022

Adaptive LRFU replacement policy for named data network in industrial IoT.

[BibT_eX]

[DOI]

ICT Express, 2022

Fine-Tuned CNN with Data Augmentation for 3D Printer Fault Detection.

[BibT_eX]

[DOI]

Taesoo Jun

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Data Prediction-Based Virtual Sensor in Digital Twin Scenario using Deep Learning Approach.

[BibT_eX]

[DOI]

Adinda Riztia Putri

Taesoo Jun

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

3DFed: A Secure Federated Learning-based System for Fault Detection in 3D Printer Industry.

[BibT_eX]

[DOI]

Mark Verana

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Backhaul Aggregator Design for Real-Time 3D Printer System.

[BibT_eX]

[DOI]

Yohana Jayanti Aruan

Adinda Riztia Putri

Philip Tobianto Daely

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Composite Multi-Directional LSTM for Accurate Prediction of Energy Consumption.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Networking, 2022

2021

DB-BiLSTM: Euclidean Distance-Based Sensor Data Prediction for IoT Applications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Energy Efficient-based Sensor Data Prediction using Deep Concatenate MLP.

[BibT_eX]

[DOI]

Ade Pitra Hermawan

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2019

Least Recently Frequently Used Replacement Policy Named Data Networking Approach.

[BibT_eX]

[DOI]