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M. Tahasanul Ibrahim
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Journal Articles
- 2024
- [j3]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. IEEE Access 12: 2236-2259 (2024) - 2023
- [j2]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection Using Ensemble Classification and Evidence Theory. IEEE Access 11: 53545-53587 (2023) - 2022
- [j1]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. IEEE Access 10: 89134-89152 (2022)
Conference and Workshop Papers
- 2024
- [c2]M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung:
Node Reservation Based Incremental Learning Network for Object Detection. ICIT 2024: 1-6 - 2021
- [c1]Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung:
Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. SA 2021: 1-6
Informal and Other Publications
- 2023
- [i3]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Information Fusion for Assistance Systems in Production Assessment. CoRR abs/2309.00157 (2023) - 2022
- [i2]Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment using a Knowledge Transfer Framework and Evidence Theory. CoRR abs/2207.03611 (2022) - [i1]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection using Ensemble Classification and Evidence Theory. CoRR abs/2212.12092 (2022)
Coauthor Index
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last updated on 2024-06-20 21:29 CEST by the dblp team
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