Results 61 to 70 of about 1,572,835 (188)
New Journal of Physics, 2019 During oscillations of cosmology inflation around the minimum of a cuspy potential after inflation, the existence of extra high frequency gravitational waves (HFGWs) (∼GHz) has been proven effectively recently.
Li-Li Wang, Jin Li, Nan Yang, Xin Li
doaj +1 more source
, 2017 Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and functional dependencies between brain signals.
Farrugia, Nicolas +3 more
core +3 more sources
Entropy, 2019 Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: time series length N, embedded ...
David Cuesta-Frau +3 more
doaj +1 more source
Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus
, 2017 A ubiquitous problem in pattern recognition is that of matching an observed time-evolving pattern (or signal) to a gold standard in order to recognize or characterize the meaning of a dynamic phenomenon.
Chirikjian, Gregory S
core +1 more source
Motor current signal analysis using a modified bispectrum for machine fault diagnosis [PDF]
, 2009 This paper presents the use of the induction motor current to identify and quantify common faults within a two-stage reciprocating compressor. The theoretical basis is studied to understand current signal characteristics when the motor undertakes a ...
Ball, A +4 more
core
Intelligent artifact classification for ambulatory physiological signals [PDF]
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010 Connected health represents an increasingly important model for health-care delivery. The concept is heavily reliant on technology and in particular remote physiological monitoring. One of the principal challenges is the maintenance of high quality data streams which must be collected with minimally intrusive, inexpensive sensor systems operating in ...
Sweeney, Kevin +3 more
openaire +3 more sources
Compressively Sensed Image Recognition
, 2018 Compressive Sensing (CS) theory asserts that sparse signal reconstruction is possible from a small number of linear measurements. Although CS enables low-cost linear sampling, it requires non-linear and costly reconstruction. Recent literature works show
Aslan, Sinem +4 more
core +1 more source
IEEE AccessThis paper introduces an innovative methodology for spectrum sensing and signal classification, leveraging generative artificial intelligence and incorporating out-of-distribution (OOD) detection mechanisms.
Yu Zhou +4 more
doaj +1 more source
IEEE AccessThis study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) development.
Aaqib Raza, Mohd Zuki Yusoff
doaj +1 more source
Signal Subgraph Estimation Via Vertex Screening
, 2018 Graph classification and regression have wide applications in a variety of domains. A graph is a complex and high-dimensional object, which poses great challenges to traditional machine learning algorithms.
Badea, Alexandra +4 more
core