Gabriel Avelino R. Sampedro
Orcid: 0000-0003-2354-4409
According to our database1,
Gabriel Avelino R. Sampedro
authored at least 45 papers
between 2019 and 2024.
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Bibliography
2024
Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT.
Internet Things, April, 2024
Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance.
PeerJ Comput. Sci., 2024
Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks.
PeerJ Comput. Sci., 2024
Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning.
PeerJ Comput. Sci., 2024
Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition.
IEEE Access, 2024
Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection.
IEEE Access, 2024
Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors.
IEEE Access, 2024
What's Next?: Exploring Machine Learning-Based Approaches to Content Suggestions Using IMDb Movie Reviews.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
How You Like That?: Development of a Korean Drama Recommendation System Through Sentiment Analysis.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
Predicting Pre-Order Sales Using Time Series Algorithm, Forecasting, and ARIMA Model in Python for Small Businesses.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
Magtanim Ay 'Di Biro: Regional Prediction of Crop Yield Success Rate in the Philippines using Geographic Trend Analysis Algorithm.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
2023
A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions.
Sensors, August, 2023
Sensors, August, 2023
Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity.
Sensors, August, 2023
Dataset, January, 2023
Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning.
Sensors, 2023
CoRR, 2023
Industrial Internet of Things-Based Fault Mitigation for Smart Additive Manufacturing Using Multi-Flow BiLSTM.
IEEE Access, 2023
3D-AmplifAI: An Ensemble Machine Learning Approach to Digital Twin Fault Monitoring for Additive Manufacturing in Smart Factories.
IEEE Access, 2023
HFTL: Hierarchical Federated Transfer Learning for Secure and Efficient Fault Classification in Additive Manufacturing.
IEEE Access, 2023
Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating.
IEEE Access, 2023
Toward Accurate Fused Deposition Modeling 3D Printer Fault Detection Using Improved YOLOv8 With Hyperparameter Optimization.
IEEE Access, 2023
A Novel Drug-Drug Indicator Dataset and Ensemble Stacking Model for Detection and Classification of Drug-Drug Interaction Indicators.
IEEE Access, 2023
A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures.
IEEE Access, 2023
Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Blockchain-based Federated Learning for Bearing Fault Detection in the Industrial Internet of Things.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Please Be Nice: A Deep Learning Based Approach to Content Moderation of Internet Memes.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Ano Raw: A Deep Learning Based Approach to Transliterating the Filipino Sign Language.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Leveraging Fog Layer Data Prediction Using Deep Learning for Enhanced IoT Sensor Longevity.
Proceedings of the 28th Asia Pacific Conference on Communications, 2023
2022
Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities.
Sensors, 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
An Overview of Opportunities and Challenges of Edge Computing in Smart Manufacturing.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
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.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the International Conference on Information Networking, 2022
2020
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
2019
Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, 2019