A Computational Model of Neural Learning to Predict Graphene Based ISFET
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electronic Materials"
DOI: 10.1007/s11664-019-07247-x
Abstract: In this study, the graphene ion-sensitive field-effect transistor in an electrolyte solution with different K+ concentration has been investigated. It is found that by measuring the gate voltage changes, the K+ concentration in the electrolyte… read more here.
Keywords: computational model; learning predict; predict graphene; graphene ... See more keywords
Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.074
Abstract: Eye movement data collection is very expensive and laborious. Moreover, there are usually missing values. Assuming that we are collecting eye movement data from a set of images viewed by different users, there is a… read more here.
Keywords: learning predict; multi view; based multi; view learning ... See more keywords
MACHINE LEARNING TO PREDICT 10-YEAR CARDIOVASCULAR MORTALITY FROM 12-LEAD ELECTROCARDIOGRAM
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(20)32655-3
Abstract: While various electrocardiogram (ECG) characteristics have been associated with increased cardiovascular mortality (CVM), utility of aggregated, machine-derived ECG measurements for prediction of CVM remains unknown. Using data from 8,432 participants in the third National Health… read more here.
Keywords: learning predict; cardiovascular mortality; machine learning; predict year ... See more keywords
Using statistical learning to predict interactions between single metal atoms and modified MgO(100) supports
Sign Up to like & getrecommendations! Published in 2020 at "npj Computational Materials"
DOI: 10.1038/s41524-020-00371-x
Abstract: Metal/oxide interactions mediated by charge transfer influence reactivity and stability in numerous heterogeneous catalysts. In this work, we use density functional theory (DFT) and statistical learning (SL) to derive models for predicting how the adsorption… read more here.
Keywords: learning predict; mgo 100; metal; statistical learning ... See more keywords
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Sign Up to like & getrecommendations! Published in 2019 at "Nature Medicine"
DOI: 10.1038/s41591-019-0462-y
Abstract: Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice, not every patient is tested for MSI, because this requires additional genetic or immunohistochemical tests. Here we show… read more here.
Keywords: learning predict; gastrointestinal cancer; microsatellite instability; cancer ... See more keywords
Machine Learning to Predict Aerodynamic Stall
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computational Fluid Dynamics"
DOI: 10.1080/10618562.2023.2171021
Abstract: A convolutional autoencoder is trained using a database of airfoil aerodynamic simulations and assessed in terms of overall accuracy and interpretability. The goal is to predict the stall and to investigate the ability of the… read more here.
Keywords: stall; aerodynamic stall; airfoil; machine learning ... See more keywords
Learning to Predict the Mobility of Users in Mobile mmWave Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.001.1900241
Abstract: MmWave communication suffers from severe path loss due to high frequency and is sensitive to blockages because of high penetration loss, especially in mobile communication scenarios. It highly depends on line-of-sight channels and narrow beams,… read more here.
Keywords: learning predict; mobility; mobile mmwave; predict mobility ... See more keywords
Learning to Predict Lidar Intensities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3037980
Abstract: We propose a data-driven method for simulating lidar sensors. The method reads computer-generated data, and (i) extracts geometrically simulated lidar point clouds and (ii) predicts the strength of the lidar response – lidar intensities. Qualitative… read more here.
Keywords: lidar intensities; predict lidar; lidar; learning predict ... See more keywords
Use of Machine learning to predict asthma exacerbations
Sign Up to like & getrecommendations! Published in 2020 at "European Respiratory Journal"
DOI: 10.1183/13993003.congress-2020.4802
Abstract: Background: Asthma exacerbations negatively impact disease progression and can lead to hospitalizations and death. Ability to predict exacerbations may allow intervention for prevention and improve outcomes. We aimed to develop models using machine learning to… read more here.
Keywords: learning predict; machine learning; use machine; asthma ... See more keywords
Combining patient visual timelines with deep learning to predict mortality
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0220640
Abstract: Background Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representations of clinical data could… read more here.
Keywords: learning predict; hospital mortality; visual timelines; deep learning ... See more keywords
Learning to Predict Perceptual Distributions of Haptic Adjectives
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00116
Abstract: When humans touch an object with their fingertips, they can immediately describe its tactile properties using haptic adjectives, such as hardness and roughness; however, human perception is subjective and noisy, with significant variation across individuals… read more here.
Keywords: learning predict; predict perceptual; haptic adjectives; perception ... See more keywords