Results 31 to 40 of about 692,102 (303)
Traditional progress monitoring can be inaccurate and time-consuming, potentially causing time delay and cost overrun in construction projects. With development in technology, tools such as cameras, laser scanners, and building information modelling (BIM)
M. H. Ibrahimkhil +3 more
semanticscholar +1 more source
In this study, a data-driven interior noise prediction model is developed for vehicles on an urban rail transit system based on random forest (RF) and a vehicle/track coupling dynamic model (VTCDM). The proposed prediction model can evaluate and optimize
Yifeng Wang +4 more
doaj +1 more source
Seizure-onset mapping based on time-variant multivariate functional connectivity analysis of high-dimensional intracranial EEG : a Kalman filter approach [PDF]
The visual interpretation of intracranial EEG (iEEG) is the standard method used in complex epilepsy surgery cases to map the regions of seizure onset targeted for resection.
Lie, Octavian V, van Mierlo, Pieter
core +1 more source
Improved method for SNR prediction in machine-learning-based test [PDF]
This paper applies an improved method for testing the signal-to-noise ratio (SNR) of Analogue-to-Digital Converters (ADC). In previous work, a noisy and nonlinear pulse signal is exploited as the input stimulus to obtain the signature results of ADC.
Kerkhoff, Hans G., Sheng, Xiaoqin
core +2 more sources
Croplands are commonly mapped using time series of remotely sensed images. The dynamic time warping (DTW) algorithm is an effective method for realizing this.
Ziyan Guo +5 more
semanticscholar +1 more source
Study of temporal correlations in dynamic noise mapping
A European Life project, Dynamap, has been devoted to provide a real image of the noise generated by vehicular traffic in urban and suburban areas developing a dynamic acoustic map based on a limited number of low-cost permanent noise monitoring stations.
Benocci, Roberto +3 more
openaire +2 more sources
Simultaneous use of Individual and Joint Regularization Terms in Compressive Sensing: Joint Reconstruction of Multi-Channel Multi-Contrast MRI Acquisitions [PDF]
Purpose: A time-efficient strategy to acquire high-quality multi-contrast images is to reconstruct undersampled data with joint regularization terms that leverage common information across contrasts.
Güngör, Alper +6 more
core +4 more sources
Adaptive Neuro-Filtering Based Visual Servo Control of a Robotic Manipulator
This paper focuses on the solutions to flexibly regulate robotic by vision. A new visual servoing technique based on the Kalman filtering (KF) combined neural network (NN) is developed, which need not have any calibration parameters of robotic system ...
Xungao Zhong +3 more
doaj +1 more source
Towards Mapping of Noise Impact
Noise impact management goes hand in hand with the capability to predict the noise impact on exposed communities. Three tools to that purpose are presented in this chapter: the Noise Management Toolset (NMT), the Demo Virtual Community Tool (VCT) and ...
F. Marki +4 more
semanticscholar +1 more source
Uncertain Flow Visualization using LIC [PDF]
In this paper we look at the Line Integral Convolution method for flow visualization and ways in which this can be applied to the visualization of two dimensional, steady flow fields in the presence of uncertainty. To achieve this, we start by studying
Allendes Osorio, RS, Brodlie, KW
core +1 more source

