Aafan Ahmad Toor

Stipendiat
ved Institutt for informasjonssikkerhet og kommunikasjonsteknologi ved Norges teknisk-naturvitenskapelige universitet

Resultater Resultater

An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.

Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. 2024, IEEE conference proceedings. NTNU, HVLVitenskapelig Kapittel/Artikkel/Konferanseartikkel

UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.

Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. 2024, SciTePress. NTNU, HVLVitenskapelig Kapittel/Artikkel/Konferanseartikkel

UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.

Toor, Aafan Ahmad; Lin, Jia-Chun; Lee, Ming-Chang; Gran, Ernst Gunnar. 2024, 9th International Conference on Internet of Things, Big Data and Security. NTNUVitenskapelig foredrag

A critical review of density-based data stream clustering techniques.

Toor, Aafan Ahmad. 2016, International Conference on Digital Information Management (ICDIM). SZABIoSaTVitenskapelig foredrag

Efficient mining of IoT based data streams for advanced computer vision systems.

Toor, Aafan Ahmad. 2020, Multimedia Tools and Applications. SZABIoSaTVitenskapelig artikkel

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