Results 91 to 100 of about 2,043,365 (292)

Efficient Object Localization Using Convolutional Networks

open access: yes, 2015
Recent state-of-the-art performance on human-body pose estimation has been achieved with Deep Convolutional Networks (ConvNets). Traditional ConvNet architectures include pooling and sub-sampling layers which reduce computational requirements, introduce ...
Bregler, Christopher   +4 more
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa   +8 more
wiley   +1 more source

Design of Automatic Location System of Sampling Head of Bridge-type Sampler

open access: yesGong-kuang zidonghua, 2011
In view of defect that location way of sampling head of traditional bridge-type train coal sampler is inaccuracy, an automatic location system of sampling head of bridge-type train coal sampler was designed based on PLC and shaft encoder according to ...
DOU Quan-qi
doaj  

Spatial Interpolation contribution to noise maps uncertainty [PDF]

open access: yes, 2010
Noise maps results are usually presented as contour graphs or isophone curves, which describe the sound levels as functions of spatial location. These maps are added to Geographic Information Systems (GIS), allowing sound level evaluation as a function
Asensio Rivera, César   +4 more
core   +1 more source

Robust Covariance Adaptation in Adaptive Importance Sampling

open access: yes, 2018
Importance sampling (IS) is a Monte Carlo methodology that allows for approximation of a target distribution using weighted samples generated from another proposal distribution.
Bugallo, Monica F.   +2 more
core   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich   +5 more
wiley   +1 more source

Pengaruh Kualitas Produk, Store Atmosphere, Dan Lokasi Terhadap Keputusan Pembelian Untuk Produk Fashion Pada Distro Di Kota Palembang [PDF]

open access: yes, 2016
This study was conducted to determine the effect of product quality, store atmosphere, and the location of the purchasing decision for fashion products in the city of Palembang. This type of research is done by using a field study / survey.
Putri, Melinda
core  

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Monte Carlo Techniques in Studying Robust Estimators [PDF]

open access: yes
Recent work on robust estimation has led to many procedures, which are easy to formulate and straightforward to program but difficult to study analytically.
David C. Hoaglin
core  

Algorithms for Location Estimation Based on RSSI Sampling [PDF]

open access: yes, 2008
In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sensor node. We also show how to use this probabilistic model to efficiently compute a good estimation of the position of the sensor node by sampling multiple readings from the ...
Charalampos Papamanthou   +2 more
openaire   +1 more source

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