Application of a Neural Network Whole Transcriptome–Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers
Sign Up to like & getrecommendations! 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
Artificial Neural Network Modeling to Predict Neonatal Metabolic Bone Disease in the Prenatal and Postnatal Periods
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A MoS2 Hafnium Oxide Based Ferroelectric Encoder for Temporal‐Efficient Spiking Neural Network
Sign Up to like & getrecommendations! 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
Evaluation of the effective forcespinning parameters controlling polyvinyl alcohol nanofibers diameter using artificial neural network
Sign Up to like & getrecommendations! 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
Unified deep neural network for segmentation and labeling of multipanel biomedical figures
Sign Up to like & getrecommendations! 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
A robust soft sensor based on artificial neural network for monitoring microbial lipid fermentation processes using Yarrowia lipolytica
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28310
Abstract: Microbial oils produced by Yarrowia lipolytica offer an environmentally friendly and sustainable alternative to petroleum as well as traditional lipids from animals and plants. The accurate measurement of fermentation parameters, including the substrate concentration, dry… read more here.
Keywords: neural network; concentration; soft sensor; fermentation ... See more keywords
Aberrant intrinsic neural network strength in individuals with “smartphone addiction”: An MRI data fusion study
Sign Up to like & getrecommendations! Published in 2022 at "Brain and Behavior"
DOI: 10.1002/brb3.2739
Abstract: Excessive smartphone use, also referred to as “smartphone addiction” (SPA), has increasingly attracted neuroscientific interest due to its similarities with other behavioral addictions, particularly internet gaming disorder. Little is known about the neural mechanisms underlying… read more here.
Keywords: neural network; aberrant intrinsic; network strength; smartphone addiction ... See more keywords
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
Neural network‐based learning and estimation of battery state‐of‐charge: A comparison study between direct and indirect methodology
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5654
Abstract: Faced with the ever‐increasing urban environmental pollution, the electric vehicles (EVs) have received increasing attention in the automotive industry. Lithium‐ion batteries, serving as electrochemical power storage, have been extensively used in EVs because of the… read more here.
Keywords: methodology; learning estimation; estimation; state ... See more keywords
Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5988
Abstract: In this study, five different water based ZrO2 nanofluids were prepared at volumetric concentrations of 0.0125%, 0.025%, 0.05%, 0.1%, and 0.2%. In the preparation of nanofluids, two‐step method was preferred, magnetic stirrer and ultrasonic homogenizer… read more here.
Keywords: conductivity; thermal conductivity; artificial neural; water ... See more keywords