Results 71 to 80 of about 50,188 (187)
Bird Call Identification Using Ensemble Empirical Mode Decomposition
Shock and VibrationBirds are iconic species of the environment. Bird monitoring can be achieved by collecting recordings of the calls of wild birds and later identifying the species. A new approach suggested in this study involves the application of ensemble empirical mode
Jingxuan Liu, Hailan Chen
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Malware Detection in the Cloud under Ensemble Empirical Mode Decomposition [PDF]
Cloud networks underpin most of todays’ socioeconomical Information Communication Technology (ICT) environments due to their intrinsic capabilities such as elasticity and service transparency.
Chatzimisios, P +3 more
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Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
, 2018 We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
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Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform
, 2009 The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decomposition of non-stationary signals with hightime-frequency resolution but ...
Alexander Stroeer +7 more
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IEEE Photonics Journal, 2016 Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult.
Hongxia Zhang +4 more
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Applied Water ScienceVarious critical applications, spanning from watershed management to agricultural planning and ecological sustainability, hinge upon the accurate prediction of reference evapotranspiration (ETo).
Ahmed Elbeltagi +5 more
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Short-term prediction of trimaran load based on data driven technology
BrodogradnjaDue to the complex flow interference by side hulls, load prediction has been one of the obstacles to achieve structural health monitoring and intelligent navigation of trimarans.
Haoyun Tang +3 more
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Are Trump and Bitcoin Good Partners?
, 2017 During times of extreme market turmoil, it is acknowledged that there is a tendency towards "flight to safety". A strong (weak) safe haven is defined as an asset that has a significant positive (negative) return in periods where another asset is in ...
Bouoiyour, Jamal, Selmi, Refk
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An FSCEEMD method for downhole weak SNR signal extraction of near-bit attitude parameters
EURASIP Journal on Advances in Signal ProcessingIn practice, the near-bit drilling tool confronts with strong vibrations and high-speed rotation. Therein the original signal amplitude of the tool attitude measurements is relatively feeble, and the signal-to-noise ratio (SNR) is exceptionally low.
Yanhui Mao +4 more
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A Novel Source Number Enumeration Approach Based on Ensemble Learning and SEEMD
IEEE AccessEmpirical Mode Decomposition (EMD) is a widely adopted adaptive signal analysis method, particularly effective for source number estimation in non-stationary environments. It decomposes complex signals into a series of Intrinsic Mode Functions (IMFs) and
Zhu Cairong, Ge Shengguo, Xu Yihan
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