Articles with "network using" as a keyword



A deep neural network using audio files for detection of aortic stenosis

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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
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Stabilization of Ethyl‐Cellulose Oleogel Network Using Lauric Acid

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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

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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

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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

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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

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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

Predicting collective states of a star network using reservoir computing.

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Published in 2025 at "Chaos"

DOI: 10.1063/5.0271356

Abstract: Inferring the dynamics of a network of oscillators becomes a significant challenge in the absence of explicit system equations. We present a data-driven machine learning technique to predict different dynamical states of a network, specifically… read more here.

Keywords: reservoir computing; predicting collective; star network; network using ... See more keywords

SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.

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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

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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

Bayesian Optimized ANFIS Network Using Grid Partition and Feature Spectrum for Urban Light Pollution Assessment

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Published in 2025 at "IEEE Photonics Journal"

DOI: 10.1109/jphot.2025.3553420

Abstract: Precise luminance evaluation of light pollution requires expensive and time-consuming measurement devices such as hyperspectral imaging cameras and imaging luminance-meters, which are also inconvenient to carry. To alleviate this challenge, we selected a low-cost smartphone… read more here.

Keywords: optimized anfis; anfis network; bayesian optimized; light pollution ... See more keywords

Design and Implementation of a Social Network Using Firebase

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Published in 2025 at "TEM Journal"

DOI: 10.18421/tem144-11

Abstract: With the rapid advancement of smartphones in recent years, application stores have experienced significant daily growth and dynamic activity. Modern smartphones, characterized by their originality, widespread usage, and powerful computing capabilities, have become an ideal… read more here.

Keywords: firebase; design implementation; implementation social; network using ... See more keywords