Results 41 to 50 of about 12,438,174 (289)

Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments [PDF]

, 2016
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which uses a uniform distribution to ...
Domínguez, Enrique, Luque-Baena, Rafael Marcos, López-Rubio, Ezequiel, Molina-Cabello, Miguel Angel, Palomo, Esteban José   +4 more
core   +1 more source

Reusability-targeted enrichment of sea ice core data

Scientific Data
The Reusability-targeted Enriched Sea Ice Core Database (RESICE) combines data and metadata from 287 sea ice cores. The database enables reuse scenarios such as the validation of physics-based models and the training of data-driven algorithms.
Anna Simson, Anil Yildiz, Julia Kowalski
doaj   +1 more source

Quantitative Set-Based Design to Inform Design Teams

Applied Sciences, 2021
System designers, analysts, and engineers use various techniques to develop complex systems. A traditional design approach, point-based design (PBD), uses system decomposition and modeling, simulation, optimization, and analysis to find and compare ...
Eric Specking, Nicholas Shallcross, Gregory S. Parnell, Edward Pohl   +3 more
doaj   +1 more source

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

Pediatric 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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Modeling Method Based on Prespacetime Model II [PDF]

, 2013
Some applications of Prespacetime Model II are stated. The applications relate to presenting and modeling energy-momentum-mass relationship, self-referential matrix rules, elementary particles and composite particles through self-referential hierarchical spin in prespacetime.
Hu, Huping, Wu, Maoxin
openaire   +2 more sources

A model‐based multithreshold method for subgroup identification [PDF]

Statistics in Medicine, 2019
Thresholding variable plays a crucial role in subgroup identification for personalized medicine. Most existing partitioning methods split the sample based on one predictor variable. In this paper, we consider setting the splitting rule from a combination of multivariate predictors, such as the latent factors, principle components, and weighted sum of ...
Jingli Wang, Jialiang Li, Yaguang Li, Weng Kee Wong   +3 more
openaire   +4 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Gaussian process emulators for the undrained bearing capacity of spatially random soils using cell-based smoothed finite element method

Journal of Rock Mechanics and Geotechnical Engineering
In this paper, we propose a novel probabilistic method for predicting the undrained bearing capacity of spatially variable soils. Our approach combines a Gaussian process regression (GPR)-based surrogate model with random cell-based smoothed finite ...
H.C. Nguyen, X. He, M. Nazem, X. Chen, H. Xu, R. Sousa, J. Kowalski   +6 more
doaj   +1 more source

Should ecologists prefer model‐ over distance‐based multivariate methods?

Ecology and Evolution, 2020
Ecological data sets often record the abundance of species, together with a set of explanatory variables. Multivariate statistical methods are optimal to analyze such data and are thus frequently used in ecology for exploration, visualization, and ...
Jonathan F. Jupke, Ralf B. Schäfer
doaj   +1 more source

Multi-center clinical trials: Randomization and ancillary statistics

, 2008
The purpose of this paper is to investigate and develop methods for analysis of multi-center randomized clinical trials which only rely on the randomization process as a basis of inference.
Zelen, Marvin, Zheng, Lu
core   +1 more source