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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

12 November 2020
Andrea Castellani
Sebastian Schmitt
S. Squartini
ArXivPDFHTML

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

14 / 14 papers shown
Title
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
21
0
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
43
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
34
0
0
02 Jul 2024
Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond
Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond
Santonu Sarkar
Shanay Mehta
Nicole Fernandes
Jyotirmoy Sarkar
Santonu Sarkar
Snehanshu Saha
44
2
0
11 Feb 2024
Defect detection using weakly supervised learning
Defect detection using weakly supervised learning
Vasileios Sevetlidis
George Pavlidis
Vasiliki Balaska
A. Psomoulis
S. Mouroutsos
Antonios Gasteratos
WSOD
9
2
0
27 Mar 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
35
234
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
33
2
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 Systems
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
20
35
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 Survey
Jiaqi Wen
Bogdan Gabrys
Katarzyna Musial
AI4CE
39
29
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
18
68
0
24 Nov 2021
Deep Video Anomaly Detection: Opportunities and Challenges
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren
Feng Xia
Ye Liu
Ivan Lee
4
39
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
12
11
0
16 Aug 2021
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening
Yurong Chen
56
0
0
09 Aug 2021
Blockchain-based Digital Twins: Research Trends, Issues, and Future
  Challenges
Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges
S. Suhail
Rasheed Hussain
Raja Jurdak
A. Oracevic
K. Salah
Raimundas Matulevičius
Choong Seon Hong
AI4CE
27
84
0
22 Mar 2021
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