Poster "Anomaly Detection for IoT multivariate time series data with statistical and machine learning techniques, JRDMA 2024"

Scientific conference in universities or research centers (Scientific conferences in universities or research centers)

Nguyen, Thi Thuy Van; Tran, Kim Phuc; Heuchenne, Cédric et al.

2024

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https://hdl.handle.net/2268/322858

poster_Thi Thuy Van NGUYEN_JRDMA 2024.pdf

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Keywords :

Anomaly Detection; IoT multivariate time series data; Control chart; MEWMA-SVDD; Transformer based VAE; Robust graph transformer

Disciplines :

Computer science

Author, co-author :

Nguyen, Thi Thuy Van ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations

Tran, Kim Phuc; ULille - University of Lille [FR] > ENSAIT, GEMTEX Laboratoire de Génie et Matériaux Textiles

Heuchenne, Cédric ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Statistique appliquée à la gestion et à l'économie

Tartare, Guillaume; ULille - University of Lille [FR] > ENSAIT, GEMTEX Laboratoire de Génie et Matériaux Textiles

Language :

English

Title :

Poster "Anomaly Detection for IoT multivariate time series data with statistical and machine learning techniques, JRDMA 2024"

Publication date :

08 July 2024

Number of pages :

Event name :

10th edition of the Journée Régionale des Doctorants en sciences de la Mer et de l’Automatique (JRDMA)

Event organizer :

Campus de la Mer research federation

Event place :

Boulogne-sur-Mer, France

Event date :

08 July 2024

Available on ORBi :

since 01 October 2024

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