Results 51 to 60 of about 27,804 (170)
Applied Sciences, 2019 The transient impact components in vibration signal, which are the major information for bearing fault severity recognition, are often interfered with by ambient noise.
Jiancheng Yin +5 more
doaj +1 more source
Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations
IEEE Access, 2020 Consider the problem of clustering objects with temporally changing multivariate variables, for instance, in the classification of cities with several changing socioeconomic indices in geographical research.
Liying Zhang +4 more
doaj +1 more source
Formal analysis techniques for gossiping protocols [PDF]
, 2007 We give a survey of formal verification techniques that can be used to corroborate existing experimental results for gossiping protocols in a rigorous manner.
Bakhshi, Rena +3 more
core +5 more sources
Temporal Feature Selection with Symbolic Regression [PDF]
, 2017 Building and discovering useful features when constructing machine learning models is the central task for the machine learning practitioner. Good features are useful not only in increasing the predictive power of a model but also in illuminating the ...
Fusting, Christopher Winter
core +1 more source
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
, 2020 Weighted model counting (WMC) has emerged as a prevalent approach for probabilistic inference. In its most general form, WMC is #P-hard. Weighted DNF counting (weighted #DNF) is a special case, where approximations with probabilistic guarantees are ...
Abboud, Ralph +2 more
core +1 more source
Perceptual Vibration Hashing by Sub-Band Coding: An Edge Computing Method for Condition Monitoring
IEEE Access, 2019 High data throughput during real-time vibration monitoring can easily lead to network congestion, insufficient data storage space, heavy computing burden, and high communication costs.
Haining Liu +5 more
doaj +1 more source
Chaos for Liouville probability densities
, 1995 Using the method of symbolic dynamics, we show that a large class of classical chaotic maps exhibit exponential hypersensitivity to perturbation, i.e., a rapid increase with time of the information needed to describe the perturbed time evolution of the ...
A. J. Lichtenberg +33 more
core +1 more source
A Novel Trend Symbolic Aggregate Approximation for Time Series
, 2019 9 pages ...
Yu, Yufeng +4 more
openaire +2 more sources
A Modified IP-Based NILM Approach Using Appliance Characteristics Extracted by 2-SAX
IEEE Access, 2019 Deregulation on the delivery side of the power market has continuously been moving forward worldwide, which make bidirectional flow and interactions between customers and grids needs to be more refined and in-depth.
Yaoxian Liu, Yi Sun, Bin Li
doaj +1 more source
Learning-Based Synthesis of Safety Controllers
, 2019 We propose a machine learning framework to synthesize reactive controllers for systems whose interactions with their adversarial environment are modeled by infinite-duration, two-player games over (potentially) infinite graphs.
beyene +9 more
core +1 more source