A survey on data-driven predictive maintenance for the railway industry
In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
AD2S: Adaptive anomaly detection on sporadic data streams
With the widespread use of Internet applications, ensuring the quality and reliability of online
services has become increasingly important. Therefore, anomaly detection methods play a …
services has become increasingly important. Therefore, anomaly detection methods play a …
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix
X Tan, Z Wang, H Qian, J Zhou, P Duan… - Proceedings of the 33rd …, 2024 - dl.acm.org
Covariance matrix estimation is an important problem in statistics, with wide applications in
finance, neuroscience, meteorology, oceanography, and other fields. However, when the …
finance, neuroscience, meteorology, oceanography, and other fields. However, when the …
Real-time Fuel Leakage Detection via Online Change Point Detection
Early detection of fuel leakage at service stations with underground petroleum storage
systems is a crucial task to prevent catastrophic hazards. Current data-driven fuel leakage …
systems is a crucial task to prevent catastrophic hazards. Current data-driven fuel leakage …
Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations
Sensor data collected from climate stations has been used in various scientific applications
and environmental monitoring. Maintaining the data quality is essential to guarantee the …
and environmental monitoring. Maintaining the data quality is essential to guarantee the …
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix
Covariance matrix estimation is an important problem in statistics, with wide applications in
finance, neuroscience, meteorology, oceanography, and other fields. However, when the …
finance, neuroscience, meteorology, oceanography, and other fields. However, when the …
On Novel System for Detection Video Impairments Using Unsupervised Machine Learning Anomaly Detection Technique.
Recently, the necessity of video testing at the point of reception has become a challenge for
video distributors. This paper presents a new system framework for managing the quality of …
video distributors. This paper presents a new system framework for managing the quality of …
An overall optimization and solution framework for urban historical and future DRIF under climate change
XC Ding, WH Liao, H Wang, H Wang, XH Lei… - Water Supply, 2022 - iwaponline.com
The estimation and application of Intensity-Duration-Frequency (IDF) curves depend on the
assumption of stationarity of the rainfall series, which is that the intensity and frequency of …
assumption of stationarity of the rainfall series, which is that the intensity and frequency of …
[PDF][PDF] Continuous monitoring of weather sensor networks using machine learning: Anomaly detection in weather timeseries
SU Jawad - 2023 - trepo.tuni.fi
M. Sc. Thesis Tampere University Master's Degree Programme in Statistical Data Analytics
Oct 2023 Vaisala develops measurement devices and sensors for weather and …
Oct 2023 Vaisala develops measurement devices and sensors for weather and …
ЭКОНОМИЧЕСКИЕ КРИЗИСЫ В СОВРЕМЕННОЙ ЭКОНОМИКЕ И МЕТОДЫ ИХ ПРЕОДОЛЕНИЯ
ВА Иванюк - Москва, 2023 - elibrary.ru
В данном научном исследовании анализируются причины возникновения, последствия,
стратегии и способы преодоления кризисов, происходящих в экономике. Особое …
стратегии и способы преодоления кризисов, происходящих в экономике. Особое …