Results 51 to 60 of about 6,534,602 (244)
Development of neural network model of disc brake operation [PDF]
FME Transactions, 2010 The quality of artificial neural network models mostly depends on a proper setting of neural network architecture i.e. learning algorithm, transfer functions, range and distribution of data used for training, validation, and testing, etc.
Ćirović Velimir, Aleksendrić Dragan
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
The hardware implementation of an artificial neural network using stochastic pulse rate encoding principles [PDF]
, 1995 In this thesis the development of a hardware artificial neuron device and artificial neural network using stochastic pulse rate encoding principles is considered.
Glover, John Sigsworth
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Implementing artificial neural networks through bionic construction.
PLoS ONE, 2019 It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He +9 more
doaj +1 more source
Artificial neural network techniques to investigate potential interactions between biomarkers [PDF]
, 2010 High-throughput technologies in biomedical sciences, including gene microarrays, supposed to revolutionise the post-genomic era, have barely met the great expectations they inspired to the biomedical community at first.
Lemetre, C
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Applications of artificial neural networks for enhanced livestock productivity: A review
Indian Journal of Animal Sciences, 2016 Artificial neural network models are machine-learning systems, a type of artificial intelligence. They have been inspired by and developed along the working principles of the human brain and its nerve cells.
V B DONGRE, R S GANDHI
doaj +1 more source
Iraqi Journal of Civil Engineering, 2020 The main objective of this study is to evaluate the comparative performance of three artificial neural network techniques (radial basis functions RBF, multilayer perceptron MLP, and group method of data handling GMDH) based approach with the Penman ...
Ali H. Al-Aboodi +2 more
doaj +1 more source