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Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities

Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9446

2022

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

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Active Learning Empowered Sentiment Analysis: An Approach for Optimizing Smartphone Customer's Review Sentiment Classification

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.4470-4477

2024

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Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity

Sensors (Basel, Switzerland), 2023-07, Vol.23 (15), p.6664

2023

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Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7087

2023

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A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions

Sensors (Basel, Switzerland), 2023-07, Vol.23 (15), p.6821

2023

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Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning

Applied sciences, 2022-09, Vol.12 (17), p.8753

2022

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Privacy Preserved and Decentralized Smartphone Recommendation System

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.4617-4624

2024

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Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing

PeerJ. Computer science, 2024-03, Vol.10, p.e1933-e1933

2024

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ORAN-B5G: A Next-Generation Open Radio Access Network Architecture With Machine Learning for Beyond 5G in Industrial 5.0

IEEE transactions on green communications and networking, 2024-09, Vol.8 (3), p.1026-1036

2024

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Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.627-634

2024

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Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.2170-2177

2024

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Artificial intelligence framework for heart disease classification from audio signals

Scientific reports, 2024-02, Vol.14 (1), p.3123-3123, Article 3123

2024

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An Anomaly Detection Model Based on Deep Auto-Encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet of Everything

IEEE internet of things journal, 2024-09, Vol.11 (18), p.29402-29411

2024

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Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3984

2023

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Harris-Hawk-Optimization-Based Deep Recurrent Neural Network for Securing the Internet of Medical Things

Electronics (Basel), 2023-06, Vol.12 (12), p.2612

2023

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SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data

IEEE access, 2024, Vol.12, p.95659-95672

2024

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

IEEE access, 2023, Vol.11, p.54795-54807

2023

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SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection

Frontiers in computational neuroscience, 2024-06, Vol.18, p.1414462

2024

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Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection

IEEE access, 2024, Vol.12, p.1706-1717

2024

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Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition

IEEE access, 2024, Vol.12, p.44949-44959

2024

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Multi-Class Adaptive Active Learning for Predicting Student Anxiety

IEEE access, 2024, Vol.12, p.58097-58105

2024

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Suspicious Human Activity Recognition From Surveillance Videos Using Deep Learning

IEEE access, 2024, Vol.12, p.105497-105510

2024

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

IEEE access, 2023, Vol.11, p.74251-74262

2023

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A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures

IEEE access, 2023, Vol.11, p.112189-112198

2023

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Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities

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

Active Learning Empowered Sentiment Analysis: An Approach for Optimizing Smartphone Customer's Review Sentiment Classification

Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions

Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning

Privacy Preserved and Decentralized Smartphone Recommendation System

Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing

ORAN-B5G: A Next-Generation Open Radio Access Network Architecture With Machine Learning for Beyond 5G in Industrial 5.0

Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications

Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System

Artificial intelligence framework for heart disease classification from audio signals

An Anomaly Detection Model Based on Deep Auto-Encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet of Everything

Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning

Harris-Hawk-Optimization-Based Deep Recurrent Neural Network for Securing the Internet of Medical Things

SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data

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

SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection

Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection

Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition

Multi-Class Adaptive Active Learning for Predicting Student Anxiety

Suspicious Human Activity Recognition From Surveillance Videos Using Deep Learning

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

A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures

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