Ghent University Academic Bibliography

Journal Article
A1
open access

An end-to-end digital twin framework for dynamic traffic analytics in O-RAN

Hojjat Navidan (UGent) , Cristian Martin, Vasilis Maglogiannis (UGent) , Dries Naudts (UGent) , Manuel Diaz, Ingrid Moerman (UGent) and Adnan Shahid (UGent)

(2026) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 23. p.76-92

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Journal Article
A1
open access

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

Pieter Moens (UGent) , Bram Steenwinckel (UGent) , Femke Ongenae (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2026) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 23. p.1970-1988

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Journal Article
A1
open access

Segmentation and quantification of surface defects in 3D reconstructions for damage assessment and inspection

Jonathan Sterckx (UGent) , Michiel Vlaminck (UGent) and Hiep Luong (UGent)

(2025) IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING. 22. p.19439-19450

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Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks

Michael Weyns (UGent) , Sander Vanden Hautte, Annelies Lejon (UGent) , Veerle Ledoux (UGent) , Pieter Bonte (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. 33(4).

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Journal Article
A2
open access

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data

Wei-Cheng Wang (UGent) , Sander De Coninck (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) FRONTIERS IN ROBOTICS AND AI. 11.

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Journal Article
A1
open access

Wind turbine hybrid physics-based deep learning model for a health monitoring approach considering provision of ancillary services

Nezmin Kayedpour (UGent) , Jixiang Qing, Jolan Wauters (UGent) , Jeroen De Kooning (UGent) , Ivo Couckuyt (UGent) and Guillaume Crevecoeur (UGent)

(2024) IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. 73.

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Journal Article
A1
open access

A non-destructive, autoencoder-based approach to detecting defects and contamination in reusable food packaging

Anh Minh Truong (UGent) and Hiep Luong (UGent)

(2024) CURRENT RESEARCH IN FOOD SCIENCE. 8.

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Journal Article
A1
open access

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

Mays AL-Naday, Vlad Dobre, Martin Reed, Salman Toor, Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) ANNALS OF TELECOMMUNICATIONS. 79. p.165-178

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A semi-supervised anomaly detection approach for detecting mechanical failures

Colin Soete (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2024) AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING. 38.

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Conference Paper
C1
open access

A gear health indicator based on f-AnoGAN

Hao Wen, Djordy Van Maele (UGent) , Jean Carlos Poletto (UGent) , Patrick De Baets (UGent) and Konstantinos Gryllias

(2024) Proceedings of the European Conference of the PHM Society 2024. In PHM Society European Conference 8(1). p.33-44

Academic Bibliography

An end-to-end digital twin framework for dynamic traffic analytics in O-RAN

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

Segmentation and quantification of surface defects in 3D reconstructions for damage assessment and inspection

Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data

Wind turbine hybrid physics-based deep learning model for a health monitoring approach considering provision of ancillary services

A non-destructive, autoencoder-based approach to detecting defects and contamination in reusable food packaging

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

A semi-supervised anomaly detection approach for detecting mechanical failures

A gear health indicator based on f-AnoGAN

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