Automatic meter error detection with a data-driven approach

R Chu, L Chik, J Chan, K Gutzmann, X Li - Engineering Applications of …, 2023 - Elsevier
Meter error is one of the main contributing factors to unexpected fuel losses or gains in
storage tanks at service stations. Although fuel dispensers are expected to be calibrated to …

Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm

F Li, Y Xiao, Z Chen - Symmetry, 2023 - mdpi.com
Structural breaks are often encountered in empirical studies with large panels. This paper
considers the estimation of multiple breaks in the mean of panel data model based on a …

采用密度比估计的多窗口变点检测方法.

张曼, 崔文泉 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
针对基于密度比估计的时间序列变点检测方法受时间窗窗宽限制, 识别变点类型单一的问题,
利用和发展动态多重过滤算法MFA (multiple filtering algorithm), 提出一种多窗口变点检测方法 …

Editorial Conclusion for the Special Issue “Fixed Point Theory and Computational Analysis with Applications”

WS Du, A Cordero, H Huang, JR Torregrosa - Symmetry, 2023 - mdpi.com
Fixed point theory is a fascinating subject that has a wide range of applications in many
areas of mathematics. Brouwer's fixed point theorem and Banach contraction principle are …

Hypernetwork Representation Learning with Common Constraints of the Set and Translation

Y Zhu, H Zhao, J Huang, X Wang - Symmetry, 2022 - mdpi.com
Different from conventional networks with only pairwise relationships among the nodes,
there are also complex tuple relationships, namely the hyperedges among the nodes in the …

Mutual Dimensionless Indices and ROC Analysis in Bearing Fault Occurrence Detection

H Zhu, W Xu, C Delpha, Y Wang - IECON 2022–48th Annual …, 2022 - ieeexplore.ieee.org
This work proposes a diagnosis method based on mutual dimensionless indices (MDIs) and
receiver operating characteristic (ROC) analysis for the detection of rolling bearing faults …

Usage of specific attention improves change point detection

A Dmitrienko, E Romanenkova, A Zaytsev - arXiv preprint arXiv …, 2022 - arxiv.org
The change point is a moment of an abrupt alteration in the data distribution. Current
methods for change point detection are based on recurrent neural methods suitable for …

A framework for signal semantic segmentation

J Templeton, W Buffett - for the degree of Doctor of Philosophy in the … - search.proquest.com
Extensive research has been conducted aiming to pinpoint when the properties of a signal
change. Yet, most approaches do not consider the multi-scaling nature of various signals …

Using special attention improves change point detection

A Dmitrienko, E Romanenkova, AA Zaitsev - ИТиС 2021, 2022 - elibrary.ru
The change point is a moment of an abrupt alteration in the data distribution. Current
methods for change point detection are based on recurrent neural methods suitable for …

Online Detection of Change Points in Software Regression Test Case Execution Times

L Toikka - 2021 - trepo.tuni.fi
In a world where the role of software has become ever more prominent in our daily lives,
software testing has at the same time become an increasingly important practice. Although …