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   Articles with "neural network" as a keyword



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Application of a Neural Network Whole Transcriptome–Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers

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recommendations! Published in 2019 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2019.2597

Abstract: This cross-sectional diagnostic study evaluates the accuracy of a machine learning method that uses the whole transcriptome to identify gene markers in primary and metastatic tumors. read more here.

Keywords: whole transcriptome; network whole; primary metastatic; neural network ... See more keywords
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Artificial Neural Network Modeling to Predict Neonatal Metabolic Bone Disease in the Prenatal and Postnatal Periods

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recommendations! Published in 2023 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2022.51849

Abstract: Key Points Question Can the artificial neural network (ANN) predict risk for neonatal metabolic bone disease (MBD) in the prenatal and postnatal periods? Findings In this diagnostic study of 10 801 participants, among 5 ANN models… read more here.

Keywords: neural network; network; artificial neural; neonatal metabolic ... See more keywords

Deep learning‐based convolutional neural network for intramodality brain MRI synthesis

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recommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.13530

Abstract: Abstract Purpose The existence of multicontrast magnetic resonance (MR) images increases the level of clinical information available for the diagnosis and treatment of brain cancer patients. However, acquiring the complete set of multicontrast MR images… read more here.

Keywords: neural network; brain mri; brain; convolutional neural ... See more keywords

ICU‐EEG Pattern Detection by a Convolutional Neural Network

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recommendations! Published in 2025 at "Annals of Clinical and Translational Neurology"

DOI: 10.1002/acn3.70164

Abstract: Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and… read more here.

Keywords: eeg pattern; convolutional neural; neural network; icu eeg ... See more keywords

A MoS2 Hafnium Oxide Based Ferroelectric Encoder for Temporal‐Efficient Spiking Neural Network

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recommendations! Published in 2022 at "Advanced Materials"

DOI: 10.1002/adma.202204949

Abstract: Spiking neural network (SNN), where the information is evaluated recurrently through spikes, has manifested significant promises to minimize the energy expenditure in data‐intensive machine learning and artificial intelligence. Among these applications, the artificial neural encoders… read more here.

Keywords: neural network; ferroelectric encoder; based ferroelectric; hafnium oxide ... See more keywords

Radiofrequency Spintronic Neural Network Enabled by Electrically Modulated Magnetic Tunnel Junctions.

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recommendations! Published in 2025 at "Advanced materials"

DOI: 10.1002/adma.202510319

Abstract: Magnetic tunnel junctions (MTJs) in nanoscale have emerged as promising candidates for energy‐efficient neuromorphic computing. As a pioneering demonstration, the radiofrequency (RF) neural network based on the intrinsic RF‐to‐DC conversion capability of MTJs features multilayer… read more here.

Keywords: magnetic tunnel; energy; tunnel junctions; network ... See more keywords

Evaluation of the effective forcespinning parameters controlling polyvinyl alcohol nanofibers diameter using artificial neural network

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recommendations! Published in 2018 at "Advances in Polymer Technology"

DOI: 10.1002/adv.21817

Abstract: In this research, the polyvinyl alcohol (PVA) nanofibers through forcespinning process were successfully produced and the effective parameters for predicting nanofibers diameter using artificial neural network (ANN) were investigated. The various parameters of forcespinning process… read more here.

Keywords: nanofibers diameter; using artificial; diameter using; polyvinyl alcohol ... See more keywords

Harnessing the Missing Spectral Correlation for Metasurface Inverse Design

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recommendations! Published in 2024 at "Advanced Science"

DOI: 10.1002/advs.202308807

Abstract: A long‐held tenet in computer science asserts that the training of deep learning is analogous to an alchemical furnace, and its “black box” signature brings forth inexplicability. For electromagnetic metasurfaces, the related intelligent applications also… read more here.

Keywords: metasurface inverse; correlation; inverse design; network ... See more keywords

Binarized Neural Network Comprising Quasi‐Nonvolatile Memory Devices for Neuromorphic Computing

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recommendations! Published in 2024 at "Advanced Electronic Materials"

DOI: 10.1002/aelm.202400061

Abstract: This study presents a binarized neural network (BNN) comprising quasi‐nonvolatile memory (QNVM) devices that operate in a positive feedback loop mechanism and exhibit an extremely low subthreshold swing (≤ 5 mV dec−1) and a high… read more here.

Keywords: memory; nonvolatile memory; binarized neural; neural network ... See more keywords

Neural‐Network Potential for Defect Formation Induced by Knock‐On Irradiation Damage in 4H‐SiC

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recommendations! Published in 2025 at "Advanced Electronic Materials"

DOI: 10.1002/aelm.202400911

Abstract: Understanding the microscopic mechanism of the irradiation damage in silicon carbide (SiC) is of great importance for improving the irradiation resistance and the ion implantation processes of SiC‐based devices. Currently, the atomic‐scale simulations of the… read more here.

Keywords: damage sic; network potential; irradiation; irradiation damage ... See more keywords
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Unified deep neural network for segmentation and labeling of multipanel biomedical figures

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recommendations! Published in 2020 at "Journal of the Association for Information Science and Technology"

DOI: 10.1002/asi.24334

Abstract: Recent efforts in biomedical visual question answering (VQA) research rely on combined information gathered from the image content and surrounding text supporting the figure. Biomedical journals are a rich source of information for such multimodal… read more here.

Keywords: unified deep; deep neural; segmentation; panel ... See more keywords