Results 1 to 10 of about 16,599 (118)
Intensity Normalisation of GPR C-Scans
Remote Sensing, 2023 The three-dimensional (3D) ground-penetrating radar (GPR) has been widely applied in subsurface surveys and imaging, and the quality of the resulting C-scan images is determined by the spatial resolution and visualisation contrast.
Tess X. H. Luo +2 more
doaj +3 more sources
Remote Sensing, 2017 The range between a sensor and the target, the incidence angle, and the target reflectance, are known factors that can influence the intensity values of LiDAR data and consequently, its use in many applications.
Haotian You +3 more
doaj +3 more sources
NeuroImage, 2021 Background: The ratio of T1-weighted (T1w) and T2-weighted (T2w) magnetic resonance imaging (MRI) images is often used as a proxy measure of cortical myelin.
Stener Nerland +8 more
doaj +1 more source
Evaluating strategies to normalise biological replicates of Western blot data. [PDF]
PLoS ONE, 2014 Western blot data are widely used in quantitative applications such as statistical testing and mathematical modelling. To ensure accurate quantitation and comparability between experiments, Western blot replicates must be normalised, but it is unclear ...
Andrea Degasperi +5 more
doaj +1 more source
Amyloid burden quantification depends on PET and MR image processing methodology.
PLoS ONE, 2021 Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer's Disease in-vivo. However, quantification can be affected by the image processing methodology applied.
Guilherme D Kolinger +7 more
doaj +1 more source
Statistical mapping of maize bundle intensity at the stem scale using spatial normalisation of replicated images. [PDF]
PLoS ONE, 2014 The cellular structure of plant tissues is a key parameter for determining their properties. While the morphology of cells can easily be described, few studies focus on the spatial distribution of different types of tissues within an organ.
David Legland +2 more
doaj +1 more source
Balanced Quantum-Like Bayesian Networks
Entropy, 2020 Empirical findings from cognitive psychology indicate that, in scenarios under high levels of uncertainty, many people tend to make irrational decisions.
Andreas Wichert +2 more
doaj +1 more source
A novel approach for predicting the standardised precipitation index considering climatic factors
Wasit Journal of Engineering Sciences, 2022 Drought modelling is essential to managing water resources in arid regions to limit its impacts. Additionally, climate change has a significant effect on the frequency and intensity of drought.
Mustafa A. Alawsi +2 more
doaj +1 more source
Sensors, 2021 Breast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been studied in recent years. Realistic numerical and physical models of the breast are needed for simulation and experimental testing of MWI prototypes.
Ana Catarina Pelicano +7 more
doaj +1 more source
A comparison on effects of normalisations in the detection of differentially expressed genes
BMC Bioinformatics, 2009 Background Various normalisation techniques have been developed in the context of microarray analysis to try to correct expression measurements for experimental bias and random fluctuations.
Risso Davide +3 more
doaj +1 more source