Results 61 to 70 of about 20,723,044 (331)
Energy and Policy Considerations for Modern Deep Learning Research
AAAI Conference on Artificial Intelligence, 2020 The field of artificial intelligence has experienced a dramatic methodological shift towards large neural networks trained on plentiful data. This shift has been fueled by recent advances in hardware and techniques enabling remarkable levels of ...
Emma Strubell +2 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Depth Profile Analysis of Deep Level Defects in 4H-SiC Introduced by Radiation
Crystals, 2020 Deep level defects created by implantation of light-helium and medium heavy carbon ions in the single ion regime and neutron irradiation in n-type 4H-SiC are characterized by the DLTS technique. Two deep levels with energies 0.4 eV (EH1) and 0.7 eV (EH3)
Tomislav Brodar +6 more
doaj +1 more source
Point-of-care measurement of blood lactate in children admitted with febrile illness to an African District Hospital. [PDF]
, 2011 BACKGROUND: Lactic acidosis is a consistent predictor of mortality owing to severe infectious disease, but its detection in low-income settings is limited to the clinical sign of "deep breathing" because of the lack of accessible technology for its ...
Acierno +22 more
core +1 more source
Deep level-set method for Stefan problems
Journal of Computational Physics, 2023 We propose a level-set approach to characterize the region occupied by the solid in Stefan problems with and without surface tension, based on their recent probabilistic reformulation. The level-set function is parameterized by a feed-forward neural network, whose parameters are trained using the probabilistic formulation of the Stefan growth condition.
Mykhaylo Shkolnikov +2 more
openaire +2 more sources
miRBase: annotating high confidence microRNAs using deep sequencing data
Nucleic Acids Res., 2013 We describe an update of the miRBase database (http://www.mirbase.org/), the primary microRNA sequence repository. The latest miRBase release (v20, June 2013) contains 24 521 microRNA loci from 206 species, processed to produce 30 424 mature microRNA ...
Ana Kozomara, S. Griffiths-Jones
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Deep Learning-Based Unmanned Surveillance Systems for Observing Water Levels
IEEE Access, 2018 Traditional surveillance systems for observing water levels are often complex, costly, and time-consuming. In this paper, we developed a low-cost unmanned surveillance system consisting of remote measuring stations and a monitoring center.
Jinqiu Pan +5 more
doaj +1 more source
Brain Sciences, 2020 The core objective of this study was to determine the neuroprotective properties of deep brain stimulation of the pedunculopontine tegmental nucleus on the apoptosis of the hippocampus.
Chellappan Praveen Rajneesh +6 more
doaj +1 more source
From neural PCA to deep unsupervised learning
, 2015 A network supporting deep unsupervised learning is presented. The network is an autoencoder with lateral shortcut connections from the encoder to decoder at each level of the hierarchy.
Almeida +25 more
core +1 more source