Results 81 to 90 of about 531,551 (278)
Preprocessing 2D data for fast convex hull computations.
PLoS ONE, 2019 This paper presents a method to reduce a set of n 2D points to a smaller set of s 2D points with the property that the convex hull on the smaller set is the same as the convex hull of the original bigger set.
Oswaldo Cadenas, Graham M Megson
doaj +1 more source
ISPRS International Journal of Geo-Information, 2019 Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory.
Iq Reviessay Pulshashi +4 more
doaj +1 more source
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
, 2017 Recently, deep neural networks have demonstrated excellent performances in recognizing the age and gender on human face images. However, these models were applied in a black-box manner with no information provided about which facial features are actually
Binder, Alexander +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Filtering procedures for untargeted LC-MS metabolomics data
BMC Bioinformatics, 2019 Background Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis.
Courtney Schiffman +9 more
doaj +1 more source
Solar radiation forecasting using ad-hoc time series preprocessing and neural networks
, 2009 In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a horizontal surface. We use an ad-hoc time series preprocessing and a Multi-
A. Mellit +9 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source
Signature extension preprocessing for LANDSAT MSS data [PDF]
There are no author-identified significant results in this ...
Lambeck, P. F., Nalepka, R. F.
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The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems [PDF]
, 2012 The artificial neural network (ANN) has recently been applied in many areas, such as medical, biology, financial, economy, engineering and so on. It is known as an excellent classifier of nonlinear input and output numerical data.
Atomi, Walid Hasen
core
Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa +10 more
wiley +1 more source