Results 31 to 40 of about 111,135 (262)

Transfer Feature Generating Networks With Semantic Classes Structure for Zero-Shot Learning

open access: yesIEEE Access, 2019
Feature generating networks face a very important issue, which is the fitting difference (inconsistency) of the distribution between the generated feature and the real data.
Guangfeng Lin   +4 more
doaj   +1 more source

ECG Beat classification: Impact of linear dependent samples

open access: yesCurrent Directions in Biomedical Engineering, 2023
The Electro Cardio Gram (ECG) is a very valuable clinical tool to access the electric function of the heart. It provides insight into the different phases of the heart beat and various kinds of disorders which may affect them. In literature the impact of
Hintermüller Christoph   +3 more
doaj   +1 more source

Satellite Imagery-Based Cloud Classification Using Deep Learning

open access: yesRemote Sensing, 2023
A significant amount of satellite imaging data is now easily available due to the continued development of remote sensing (RS) technology. Enabling the successful application of RS in real-world settings requires efficient and scalable solutions to ...
Rukhsar Yousaf   +7 more
doaj   +1 more source

The applicacion of mathematical model for diagnostic test while estimating student’s aerobic capacity

open access: yesLietuvos Matematikos Rinkinys, 2010
In the paper diagnostic test creation model proposed earlier by authors is applied for creation of the test designed to esimate aerobic capacity of VGTU students.
Natalja Kosareva   +3 more
doaj   +1 more source

Minimal Fitting Classes

open access: yesIrish Mathematical Society Bulletin, 1988
These two papers [see also the following item Zbl 0667.20016] are both about Fitting Class theory. A class \({\mathcal F}\) of finite groups is called a Fitting Class if it satisfies two properties, i) if \(G\in {\mathcal F}\) and H is a normal subgroup of G then \(H\in {\mathcal F}\) and ii) if G is a finite group and H and K are both normal subgroups
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Original article Latent classes of criminal intent associated with criminal behaviour

open access: yesCurrent Issues in Personality Psychology, 2014
Background This study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and ...
Daniel Boduszek   +4 more
doaj   +1 more source

Cup‐Like Nuclei Is a Hallmark of DUX4/ERG Acute Lymphoblastic Leukemia and Reveals Cytoplasmic Mitochondria Accumulation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille   +9 more
wiley   +1 more source

Using general regression with local tuning for learning mixture models from incomplete data sets

open access: yesEgyptian Informatics Journal, 2010
Finite mixture models is a pattern recognition technique that is used for fitting complex data distributions. Parameters of this mixture models are usually determined via the Expectation Maximization (EM) algorithm. A modified version of the EM algorithm
Ahmed R. Abas
doaj   +1 more source

Video Data Compression by Progressive Iterative Approximation.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2021
In the present paper, the B-spline curve is used for reducing the entropy of video data. We consider the color or luminance variations of a spatial position in a series of frames as input data points in Euclidean space R or R3.
M. J. Ebadi, A. Ebrahimi
doaj   +1 more source

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