FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning-Reference-Cited by-同舟云学术

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

Published:2021-03 Issue: Volume:116 Page:30-48
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Steenwinckel Bram,De Paepe Dieter,Vanden Hautte Sander,Heyvaert Pieter,Bentefrit Mohamed,Moens Pieter,Dimou Anastasia,Van Den Bossche Bruno,De Turck Filip,Van Hoecke Sofie,Ongenae Femke

Funder

imec, Belgium

VLAIO, Belgium

Fonds Wetenschappelijk Onderzoek (FWO), Belgium

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference54 articles.

1. Intelligent traffic monitoring and guidance system for smart city;Latif,2018

2. Internet of entities (IoE): a blockchain-based distributed paradigm to security;Saia,2018

3. Incorporating online monitoring data into fast prediction models towards the development of artificial intelligent ventilation systems;Ren;Sustainable Cities Soc.,2019

4. A survey of healthcare monitoring systems for chronically ill patients and elderly;Mardini;J. Med. Syst.,2019

5. Unsupervised real-time anomaly detection for streaming data;Ahmad;Neurocomputing,2017

Cited by 55 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DSGN: Log-based anomaly diagnosis with dynamic semantic gate networks;Information Sciences;2024-10

2. Enhancing Digital Resilience through AI in Industry 5.0: A Technology Management Perspective;2024 Portland International Conference on Management of Engineering and Technology (PICMET);2024-08-04

3. Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects;ICT Express;2024-08

4. Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature;Cogent Engineering;2024-07-21

5. Machine learning-based digital twin of a conveyor belt for predictive maintenance;The International Journal of Advanced Manufacturing Technology;2024-07-12