Results 101 to 110 of about 7,569,463 (308)
Prediction of dynamic responses of floating structures using NARX with mirroring technique
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
Dynamic Response of Railway Bridges Subjected to Passing Vehicles
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
Dynamic height at time series station iesSE_2
Dynamic height at time series station ...
Lukas, Roger +3 more
core +1 more source
Multi-step learning rule for recurrent neural models: an application to time series forecasting [PDF]
Multi-step prediction is a difficult task that has attracted increasing interest in recent years. It tries to achieve predictions several steps ahead into the future starting from current information.
Galván, Inés M. +3 more
core +1 more source
Dynamic voltage scaling for series hybrid amplifiers
We present an optimization of the voltage scaling algorithm in low power audio class G amplifier for headphones application toallow longer playback time. The optimization approach minimizes the voltage difference between the internal audio amplifierpower supply and its output signal over a large range of operating conditions. The modeling is based on a
Patrice Russo +4 more
openaire +3 more sources
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +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
core
Dynamic height at time series station iesK_1
Dynamic height at time series station ...
Lukas, Roger +3 more
core +1 more source
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli +3 more
wiley +1 more source
EM-Act: A Modular Series Elastic Actuator for Dynamic Robots
The 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

