Results 31 to 40 of about 935,434 (195)

Fault-Tolerant Closed-Loop Controller Using Online Fault Detection by Neural Networks

Machines
This paper presents an online model-free sensor fault-tolerant control scheme capable of tolerating the most common faults affecting an induction motor.
Alma Y. Alanis, Jesus G. Alvarez, Oscar D. Sanchez, Hannia M. Hernandez, Arturo Valdivia-G   +4 more
doaj   +1 more source

Temporal Label Walk for Community Detection and Tracking in Temporal Network

Applied Sciences, 2019
The problem of temporal community detection is discussed in this paper. Main existing methods are either structure-based or incremental analysis. The difficulty of the former is to select a suitable time window.
Zheliang Liu, Hongxia Wang, Lizhi Cheng, Wei Peng, Xiang Li   +4 more
doaj   +1 more source

Approximation algorithms for wavelet transform coding of data streams [PDF]

, 2006
This paper addresses the problem of finding a B-term wavelet representation of a given discrete function $f \in \real^n$ whose distance from f is minimized.
Guha, Sudipto, Harb, Boulos
core   +8 more sources

Towards Meta-learning over Data Streams [PDF]

, 2014
Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Holmes, Geoffrey, Pfahringer, Bernhard, van Rijn, Jan N., Vanschoren, Joaquin   +3 more
core   +1 more source

Dynamic feature selection for clustering high dimensional data streams [PDF]

, 2019
open access articleChange in a data stream can occur at the concept level and at the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes as the ...
Fahy, Conor, Yang, Shengxiang
core   +1 more source

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift

Frontiers in Artificial Intelligence
The world surrounding us is subject to constant change. These changes, frequently described as concept drift, influence many industrial and technical processes.
Fabian Hinder, Valerie Vaquet, Barbara Hammer   +2 more
doaj   +1 more source

Learning from medical data streams: an introduction [PDF]

, 2011
Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data.
Gaber, M., Gama, J., Pechenizkiy, M., Rodrigues, P.   +3 more
core   +1 more source

Hypothetical answers to continuous queries over data streams

, 2019
Continuous queries over data streams may suffer from blocking operations and/or unbound wait, which may delay answers until some relevant input arrives through the data stream.
Cruz-Filipe, Luís, Gaspar, Graça, Nunes, Isabel   +2 more
core   +1 more source

Scaling data streams with Catmandu and linked data fragments [PDF]

, 2015
C
Hochstenbach, Patrick, Steenlant, Nicolas, Verborgh, Ruben   +2 more
core   +1 more source

Continuous Monitoring of Distributed Data Streams over a Time-based Sliding Window [PDF]

, 2010
The past decade has witnessed many interesting algorithms for maintaining statistics over a data stream. This paper initiates a theoretical study of algorithms for monitoring distributed data streams over a time-based sliding window (which contains a ...
Chan, Ho-Leung, Lam, Tak-Wah, Lee, Lap-Kei, Ting, Hing-Fung   +3 more
core   +3 more sources