Empirical modeling of the plasmasphere dynamics using neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2017ja024406
Abstract: We propose a new empirical model for reconstructing the global dynamics of the cold plasma density distribution based only on solar wind data and geomagnetic indices. Utilizing the density database obtained using the NURD (Neural-network-based… read more here.
Keywords: neural networks; plasmasphere dynamics; model; solar wind ... See more keywords
Respiratory motion prediction based on deep artificial neural networks in CyberKnife system: A comparative study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13854
Abstract: Abstract Background In external beam radiotherapy, a prediction model is required to compensate for the temporal system latency that affects the accuracy of radiation dose delivery. This study focused on a thorough comparison of seven… read more here.
Keywords: system; neural networks; deep artificial; prediction ... See more keywords
MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Materials"
DOI: 10.1002/adma.202210216
Abstract: 2D metal carbides and nitrides (MXene) are promising material platforms for on‐chip neural networks owing to their nonlinear saturable absorption effect. The localized surface plasmon resonances in metallic MXene nanoflakes may play an important role… read more here.
Keywords: neural networks; nanoflakes enabled; mxene nanoflakes; enabled optical ... See more keywords
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
Sign Up to like & getrecommendations! Published in 2019 at "Advanced Science"
DOI: 10.1002/advs.201801367
Abstract: Abstract Deep learning methods for the prediction of molecular excitation spectra are presented. For the example of the electronic density of states of 132k organic molecules, three different neural network architectures: multilayer perceptron (MLP), convolutional… read more here.
Keywords: neural networks; deep learning; excitation spectra; spectroscopy ... See more keywords
A Neuromorphic Device Implemented on a Salmon‐DNA Electrolyte and its Application to Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "Advanced Science"
DOI: 10.1002/advs.201901265
Abstract: Abstract A bioinspired neuromorphic device operating as synapse and neuron simultaneously, which is fabricated on an electrolyte based on Cu2+‐doped salmon deoxyribonucleic acid (S‐DNA) is reported. Owing to the slow Cu2+ diffusion through the base… read more here.
Keywords: dna electrolyte; neural networks; dna; neuromorphic device ... See more keywords
Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202204723
Abstract: The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pace of understanding… read more here.
Keywords: neural networks; networks makes; convolutional neural; interpretation ... See more keywords
Text analysis using deep neural networks in digital humanities and information science
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24544
Abstract: Combining computational technologies and humanities is an ongoing effort aimed at making resources such as texts, images, audio, video, and other artifacts digitally available, searchable, and analyzable. In recent years, deep neural networks (DNN) dominate… read more here.
Keywords: deep neural; neural networks; text analysis; information science ... See more keywords
Predicting responses to mechanical ventilation for preterm infants with acute respiratory illness using artificial neural networks.
Sign Up to like & getrecommendations! Published in 2018 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.3094
Abstract: Infants born prematurely are particularly susceptible to respiratory illness due to underdeveloped lungs, which can often result in fatality. Preterm infants in acute stages of respiratory illness typically require mechanical ventilation assistance, and the efficacy… read more here.
Keywords: neural networks; ventilation; respiratory illness; mechanical ventilation ... See more keywords
Comparison of the different artificial neural networks in prediction of biomass gasification products
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Energy Research"
DOI: 10.1002/er.4682
Abstract: In this study, artificial neural networks (ANNs) and a nonlinear autoregressive exogenous (NARX) neural network model were employed in order to model a fixed bed downdraft gasification. The relation between the feature group and the… read more here.
Keywords: gasification; neural networks; comparison different; artificial neural ... See more keywords
A new methodology to estimate future water‐energy nexus based on artificial neural networks
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Energy Research"
DOI: 10.1002/er.7009
Abstract: We propose a new methodology to evaluate future electricity generation scenarios aiming to explore implications of different sets of power plants on the water‐energy nexus (W‐EN). We use two artificial neural networks: cascade forward back… read more here.
Keywords: water energy; new methodology; neural networks; methodology ... See more keywords
Movers and shakers: Microglial dynamics and modulation of neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Glia"
DOI: 10.1002/glia.24323
Abstract: Microglia are multifaceted cells that act as immune sentinels, with important roles in pathological events, but also as integral contributors to the normal development and function of neural circuits. In the last decade, our understanding… read more here.
Keywords: neural networks; dynamics modulation; shakers microglial; microglial dynamics ... See more keywords