Aafan Ahmad Toor
Foto:
Kai T. Dragland / NTNU
Publikasjoner
2026
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Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2026)
Real-time, Privacy-Preserving Contextual Anomaly Detection for Multivariate IoT Time Series Data.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
2025
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Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector.
arXiv
Populærvitenskapelig artikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series.
Internet of Things: Engineering Cyber Physical Human Systems
Vitenskapelig artikkel
2024
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Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
Vitenskapelig kapittel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Lee, Ming-Chang;
Gran, Ernst Gunnar.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
Vitenskapelig kapittel
2022
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Toor, Aafan Ahmad.
(2022)
Adaptive telecom churn prediction for concept-sensitive imbalance data streams.
The Journal of Supercomputing
Vitenskapelig artikkel
2020
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Toor, Aafan Ahmad.
(2020)
A Robust Systematic Approach for Ensuring Optimal Telecom Service Delivery.
IEEE Communications Magazine
Vitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2020)
Efficient mining of IoT based data streams for advanced computer vision systems.
Multimedia Tools and Applications
Vitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2020)
Mining Massive E-Health Data Streams for IoMT Enabled Healthcare Systems.
Sensors
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector.
arXiv
Populærvitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2020)
A Robust Systematic Approach for Ensuring Optimal Telecom Service Delivery.
IEEE Communications Magazine
Vitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2020)
Efficient mining of IoT based data streams for advanced computer vision systems.
Multimedia Tools and Applications
Vitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2020)
Mining Massive E-Health Data Streams for IoMT Enabled Healthcare Systems.
Sensors
Vitenskapelig artikkel
-
Toor, Aafan Ahmad.
(2022)
Adaptive telecom churn prediction for concept-sensitive imbalance data streams.
The Journal of Supercomputing
Vitenskapelig artikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series.
Internet of Things: Engineering Cyber Physical Human Systems
Vitenskapelig artikkel
Del av bok/rapport
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
Vitenskapelig kapittel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Lee, Ming-Chang;
Gran, Ernst Gunnar.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
Vitenskapelig kapittel
Studentoppgave eller avhandling
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2026)
Real-time, Privacy-Preserving Contextual Anomaly Detection for Multivariate IoT Time Series Data.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
Formidling
2024
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KonferanseforedragToor, Aafan Ahmad; Lin, Jia-Chun; Lee, Ming-Chang; Gran, Ernst Gunnar. (2024) UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. 9th International Conference on Internet of Things, Big Data and Security
2023
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KonferanseforedragToor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. (2023) An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT)
2016
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KonferanseforedragToor, Aafan Ahmad. (2016) A critical review of density-based data stream clustering techniques. International Conference on Digital Information Management (ICDIM)