Results 101 to 110 of about 757,673 (309)
EM-Act: A Modular Series Elastic Actuator for Dynamic Robots
IEEE Open Journal of the Industrial Electronics SocietyThe trend of current robotic research is to develop mobile robots that can perform highly dynamic tasks, which include jumping and running. To be employed profitably, this research necessitates a significant amount of work in the development of ...
Ramesh krishnan Muttathil Gopanunni +5 more
doaj +1 more source
Exploring ICA for time series decomposition [PDF]
In this paper, we apply independent component analysis (ICA) for prediction and signal extraction in multivariate time series data. We compare the performance of three different ICA procedures, JADE, SOBI, and FOTBI that estimate the components ...
Ester González Prieto +2 more
core
Dynamic height at time series station iesSW_1
, 2010 Dynamic height at time series station ...
Lukas, Roger +3 more
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FEBS Open Bio, EarlyView.Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Dynamic Response of Railway Bridges Subjected to Passing Vehicles
Transactions of the VŠB: Technical University of Ostrava, Civil Engineering Series, 2017 This paper discusses some issues related to dynamic effects in railway bridges focussed on the dynamic behaviour of the small and medium span simply supported railway bridges subjected to a series of moving vehicle.
Moravčík Milan, Moravčík Martin
doaj +1 more source
The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting [PDF]
This paper proposes a new forecasting method that exploits information from a largepanel of time series. The method is based on the generalized dynamic factor model proposedin Forni, Hallin, Lippi, and Reichlin (2000), and takes advantage of the ...
Marc Hallin +3 more
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Bootstraping financial time series [PDF]
, 2002 It is well known that time series of returns are characterized by volatility clustering and excess kurtosis. Therefore, when modelling the dynamic behavior of returns, inference and prediction methods, based on independent and/or Gaussian observations ...
Pascual, Lorenzo +4 more
core +1 more source
FEBS Open Bio, EarlyView.Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
Prediction of dynamic responses of floating structures using NARX with mirroring technique
MATEC Web of Conferences, 2018 Displacements, velocities and accelerations of Six Degree of freedom of a single floating structure was predicted using Time Series NARX feedback neural Networks.
Irawan Ruly +3 more
doaj +1 more source
Modelling multiple time series via common factors [PDF]
, 2008 We propose a new method for estimating common factors of multiple time series. One distinctive feature of the new approach is that it is applicable to some nonstationary time series. The unobservable, nonstationary factors are identified by expanding the
Qiwei Yao +3 more
core +1 more source