Results 101 to 110 of about 1,353 (200)
MDT Autocalibration using MINUIT
A novel method for obtaining the space-drift time relationship r(t) of the ATLAS muon spectrometer monitored drift tubes (MDTs) from measured drift times, the so-called autocalibration procedure, is presented.
Amelung, C
core
Auto-Calibration of Aquifer Parameters Using Aquifer Distributed Mathematical Models and Direct Searching Algorithm [PDF]
Simulation of behavior of aquifers into determining groundwater exploitation rate and planning for sustainable use of groundwater is very important. In this regard, groundwater models using hydraulic, hydrological and hydro-geological parameters were ...
mahmoud mohammad rezapour tabari +1 more
doaj
Synthetic Aperture Radar (SAR) imaging with a non-zero (forward) squint angle is capable of providing a longer time for reaction than that of the broadside mode.
Lei Yang +3 more
doaj +1 more source
Global Climate Model tuning (calibration) is a tedious and time‐consuming process, with high‐dimensional input and output fields. Experts typically tune by iteratively running climate simulations with hand‐picked values of tuning parameters.
Drew Yarger +3 more
doaj +1 more source
Autocalibration without decimation
Autocalibration without decimation. The insertion of computer generated characters into real footage, the removal of objects from video, and the recovery of 3-dimensional architectural or topographic models from photographs are amongst a growing number ...
core
BackgroundRobust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently proposed deep-learning-based reconstruction algorithm for parallel imaging.
Chi Zhang +5 more
doaj +1 more source
IMU Auto-Calibration Based on Quaternion Kalman Filter to Identify Movements of Dairy Cows
This work is focused on developing a self-calibration algorithm for an orientation estimation of cattle movements based on a quaternion Kalman filter.
Carlos Muñoz-Poblete +3 more
doaj +1 more source
Onboard Cloud Detection and Atmospheric Correction With Efficient Deep Learning Models
Nano and microsatellites have expanded the acquisition of satellite images with higher spatial, temporal, and spectral resolutions. Nevertheless, downlinking all this data to the ground for processing becomes challenging as the amount of remote sensing ...
Cesar Aybar +6 more
doaj +1 more source
The autocalibration tool, validated SWMM model and the simulation results data
The autocalibration tool coupling SWMM with the Genetic Optimization Algorithm is used to constantly change the parameter combination of the model, and choose the best parameter group by comparing the performance of the model. The validated SWMM model is
Hou, J (via Mendeley Data)
core +1 more source
Wearable acceleration sensors are increasingly used for the assessment of free-living physical activity. Acceleration sensor calibration is a potential source of error.
core +1 more source

