A deep neural network using audio files for detection of aortic stenosis
Sign Up to like & getrecommendations! Published in 2022 at "Clinical Cardiology"
DOI: 10.1002/clc.23826
Abstract: Although aortic stenosis (AS) is the most common valvular heart disease in the western world, many affected patients remain undiagnosed. Auscultation is a readily available screening tool for AS. However, it requires a high level… read more here.
Keywords: neural network; deep neural; aortic stenosis; using audio ... See more keywords
Stabilization of Ethyl‐Cellulose Oleogel Network Using Lauric Acid
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Lipid Science and Technology"
DOI: 10.1002/ejlt.201900044
Abstract: The use of oleogels in a wide range of applications requires a broad diversity of gel properties tailored for each purpose. The current research explores the combination of ethyl‐cellulose (EC) with lauric acid (LA), at… read more here.
Keywords: oleogel network; lauric acid; cellulose oleogel; network using ... See more keywords
Unsupervised cycle‐consistent network using restricted subspace field map for removing susceptibility artifacts in EPI
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29653
Abstract: To design an unsupervised deep neural model for correcting susceptibility artifacts in single‐shot Echo Planar Imaging (EPI) and evaluate the model for preclinical and clinical applications. read more here.
Keywords: consistent network; network using; susceptibility; unsupervised cycle ... See more keywords
Cellular planning for next generation wireless mobile network using novel energy efficient CoMP
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2229-5
Abstract: Cellular planning also called radio network planning is a crucial stage for the deployment of a wireless network. The enormous increase in data traffic requires augmentation of coverage, capacity, throughput, quality of service and optimized… read more here.
Keywords: network; energy; cellular planning; comp ... See more keywords
Quantifying and modeling of stream network using digital elevation models
Sign Up to like & getrecommendations! Published in 2017 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2015.09.002
Abstract: Quantifying and modeling of stream network using DEMs is the primary objective to understand earth surface processes. In the present study, DEMs of different quality, i.e. resolution, are evaluated for stream network quantification and modeling.… read more here.
Keywords: modeling stream; stream; quantifying modeling; network using ... See more keywords
Chemically Inspired Convolutional Neural Network using Electronic Structure Representation
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Materials Chemistry A"
DOI: 10.1039/d3ta01767b
Abstract: In recent years, a development of appropriate crystal representations for accurate prediction of inorganic crystal properties has been considered as one of the essential tasks to accelerate materials discovery through... read more here.
Keywords: neural network; using electronic; inspired convolutional; convolutional neural ... See more keywords
SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.
Sign Up to like & getrecommendations! Published in 2019 at "Physiological measurement"
DOI: 10.1088/1361-6579/ab3632
Abstract: In this work, a dense recurrent convolutional neural network (DRCNN) was constructed to detect sleep disorders including arousal, apnea and hypopnea using Polysomnography (PSG) measurement channels provided in the 2018 Physionet challenge database. Our model… read more here.
Keywords: network; dense convolutional; convolutional neural; model ... See more keywords
Deep propensity network using a sparse autoencoder for estimation of treatment effects
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaa346
Abstract: OBJECTIVE Drawing causal estimates from observational data is problematic, because datasets often contain underlying bias (eg, discrimination in treatment assignment). To examine causal effects, it is important to evaluate what-if scenarios-the so-called "counterfactuals." We propose… read more here.
Keywords: treatment; propensity network; network using; treatment effects ... See more keywords
Expanding the MECP2 network using comparative genomics reveals potential therapeutic targets for Rett syndrome
Sign Up to like & getrecommendations! Published in 2021 at "eLife"
DOI: 10.7554/elife.67085
Abstract: Inactivating mutations in the Methyl-CpG Binding Protein 2 (MECP2) gene are the main cause of Rett syndrome (RTT). Despite extensive research into MECP2 function, no treatments for RTT are currently available. Here, we used an… read more here.
Keywords: comparative genomics; expanding mecp2; rett syndrome; mecp2 ... See more keywords