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Real-World Anomaly Detection by using Digital Twin Systems and
  Weakly-Supervised Learning

Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

IEEE Transactions on Industrial Informatics (IEEE TII), 2020
12 November 2020
Andrea Castellani
Sebastian Schmitt
S. Squartini
ArXiv (abs)PDFHTML

Papers citing "Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning"

15 / 15 papers shown
Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions
Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions
Tamim Ahmed
Monowar Hasan
72
1
0
10 Aug 2025
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
Christian Internò
Andrea Castellani
S. Schmitt
Fabio Stella
Barbara Hammer
222
1
0
25 Jun 2025
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Jiyu Tian
Mingchu Li
Liming Chen
Zihao Wang
AI4TS
206
2
0
06 Apr 2025
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced
  Driver Assistance System
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
Kangjun Lee
Minha Kim
Youngho Jun
Simon S. Woo
202
2
0
09 Sep 2024
Learning Paradigms and Modelling Methodologies for Digital Twins in
  Process Industry
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
Michael Mayr
Georgios C. Chasparis
Josef Küng
AI4CE
163
1
0
02 Jul 2024
Defect detection using weakly supervised learning
Defect detection using weakly supervised learningInternational Symposium on Telecommunications (IST), 2023
Vasileios Sevetlidis
George Pavlidis
Vasiliki Balaska
A. Psomoulis
S. Mouroutsos
Antonios Gasteratos
WSOD
239
4
0
27 Mar 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6GIEEE Communications Surveys and Tutorials (COMST), 2023
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
320
304
0
02 Jan 2023
Siamese Neural Networks for Skin Cancer Classification and New Class
  Detection using Clinical and Dermoscopic Image Datasets
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Michael Luke Battle
Amir Atapour-Abarghouei
A. Mcgough
210
6
0
12 Dec 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in
  Distributed Systems
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed SystemsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
370
71
0
08 Jun 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and
  Their Dynamics: A Comprehensive Survey
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive SurveyIEEE Access (IEEE Access), 2022
Jiaqi Wen
Bogdan Gabrys
Katarzyna Musial
AI4CE
208
41
0
15 Feb 2022
Hierarchical Federated Learning based Anomaly Detection using Digital
  Twins for Smart Healthcare
Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare
Deepti Gupta
O. Kayode
Smriti Bhatt
Maanak Gupta
A. Tosun
144
97
0
24 Nov 2021
Deep Video Anomaly Detection: Opportunities and Challenges
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren
Xiwei Xu
Ye Liu
Ivan Lee
118
64
0
11 Oct 2021
Task-Sensitive Concept Drift Detector with Constraint Embedding
Task-Sensitive Concept Drift Detector with Constraint Embedding
Andrea Castellani
Sebastian Schmitt
Barbara Hammer
210
17
0
16 Aug 2021
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening
Yurong Chen
229
0
0
09 Aug 2021
Blockchain-based Digital Twins: Research Trends, Issues, and Future
  Challenges
Blockchain-based Digital Twins: Research Trends, Issues, and Future ChallengesACM Computing Surveys (CSUR), 2021
S. Suhail
Rasheed Hussain
Raja Jurdak
A. Oracevic
K. Salah
Raimundas Matulevičius
Choong Seon Hong
AI4CE
173
113
0
22 Mar 2021
1
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