Neural相关论文
Human spinal cord injury (SCI) results in locomotor and sensory disabilities, which severely affect the quality of life.......
Are ATXN2 variants modifying our understanding about neural pathogenesis, phenotypes, and diagnostic
ATXN2 one gene with multiple phenotype effects: ATXN2 gene encodes a cytosolic protein (ataxin-2) with pleiotropic funct......
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Information encoding plays crucial roles in neuroscience.One of the fundamental questions in cognitive neuroscience is h......
NEDD9 promotes cancer stemness by recruiting myeloid-derived suppressor cells via CXCL8 in esophagea
Objective:Esophageal squamous cell carcinoma(ESCC)has high morbidity and mortality rates worldwide.Cancer stem cells(CSC......
Aiming at the problem of unsatisfactory effects of traditional micro-expression recognition algorithms,an efficient micr......
Image super-resolution(SR) is an important technique for improving the resolution and quality of images.With the great p......
Inventory Management and Demand Forecasting Improvement of a Forecasting Model Based on Artificial N
Forecasting is predicting or estimating a future event or trend.Supply chains have been constantly growing in most count......
Due to the function of gestures to convey information,gesture recognition plays a more and more important part in human-......
Subjective tinnitus is the most common type of tinnitus, which is the manifestation of pathologicalactivities in the bra......
Development of Segmentation and Classification Algorithms for Computed Tomography Images of Human Ki
Computed tomography(CT)scan diagnostics procedures adopt the use of image infbnnation retrieval system with the help of ......
Heuristic dynamic programming-based learning control for discrete-time disturbed multi-agent systems
Owing to extensive applications in many fields, the synchronization problem has been widely investigated in multi-agent ......
Using neural networks for supervised learning means learning a function that maps input <em>x</em> to output <em>y</em>.......
Study of A1298C MTHFR Gene Polymorphism as a Risk Factor for Neural Tube Defects in the Eastern Alge
<b><span style=“font-family:;” “=”“>Background:</span></b><span style=”font-family:;“ ”=“”> As C677T mutation,......
Tree species classification using deep learning and RGB optical images obtained by an unmanned aeria
The diversity of tree species and the complexity of land use in cities create challenging issues for tree species classi......
Traditional fire smoke detection methods mostly rely on manual algorithm extraction and sensor detection;however,these m......
In recent years, studies have demonstrated that biophoton is a medium for the transmission and processing of neural info......
The ideal translator is a person “on whom nothing is lost，” said Henry James. Or maybe it’s a machine. But a machine w......
Neuroevolution-enabled adaptation of the Jacobi method for Poisson’s equation with density discontin
Lacking labeled examples of working numerical strategies,adapting an iterative solver to accommodate a numerical issue,e......
Glioblastoma multiforme(GBM),the most frequently occurring malignant brain tumor in adults,remains mostly untreatable.Be......
Mechanisms involved in selecting and maintaining neuroblastoma cancer stem cell populations, and per
Pediatric neuroblastomas(NBs)are heterogeneous,aggressive,therapy-resistant embryonal tumours that originate from cells ......
Engine tests are both costly and time consuming in developing a new internal combustion engine.Therefore,it is of great ......
Aiming at the dimension disaster problem, poor model generalization ability and deadlock problem in special obstacles en......
Colonoscopy remains the gold standard investigation for colorectal cancer screening as it offers the opportunity to both......
Lower urinary tract dysfunction in pediatrics progress to kidney disease in adolescents:Toward preci
Newborn infants who had neurogenic bladder dysfunction(NBD)have a normal upper urinary tract at birth.Most of them will ......
This focused section,edited by Wei Cai,Weinan E,Jan Hesthaven,Dongbin Xiu and Le-xing Ying,presents several recent devel......
It is a significant task to predict the solar activity for space weather and solar physics. All kinds of approaches have......
The monitoring of Li-ion battery temperatures is essential to ensure high efficiency and safety.In this work,two types o......
Background:Prenatal evaluation of fetal lung maturity(FLM)is a challenge,and an effective non-invasive method for prenat......
Designing a controller to stabilize maneuvering hovercrafts is an important challenge in amphibious vehicles.Hovercrafts......
Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samp
Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years. However, many deep le......
<div style=“text-align:justify;”> Smart materials and structures, especially those bio-inspired, are often characteriz......
Optogenetics,an optical technique that uses light as a modality of biological control to manipulate neuronal activity,ha......
A person’s eye gaze can effectively express that person’s intentions.Thus,gaze estimation is an important approach in ......
Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectiona
Structural color based on Fabry–Perot(F-P) cavity enables a wide color gamut with high resolution at submicroscopic sca......
Research on Global Higher Education Quality Based on BP Neural Network and Analytic Hierarchy Proces
Having a universal, fair, democratic and practical higher education system plays a particularly important role in the fu......
An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope propertie
With increasing awareness of sustainability, demands on optimized design of building shapes with a view to maximize its ......
We propose a modified supervised learning algorithm for optical spiking neural networks,which introduces synaptic time-d......
Soliton, breather, and rogue wave solutions for solving the nonlinear Schrodinger equation using a d
The nonlinear Schrodinger equation is a classical integrable equation which contains plenty of significant properties an......
Alzheimer’s disease(AD)is the most common neurodegenerative disorder and there is currently no cure.Neural circuit dysf......
Carbonation is one of the most aggressive phenomena affecting reinforced concrete structures and causing their degradati......
Elastography emerges as a medical modality to map stiffness distribution of tissues and is expected to help identify mal......
Damage detection in steel plates using feed-forward neural network coupled with hybrid particle swar
Over recent decades,the artificial neural networks(ANNs)have been applied as an effective approach for detecting damage ......
Based on a new theoretical perspective, this paper attempts to unify the seemingly incompatible learning theories of Con......
Power Curve Modelling for Wind Turbine Using Artificial Intelligence Tools and Pre-established Infer
We propose a new way to develop non-parametric models of power curves using artificial intelligence tools.One parametric......
Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Netwo
In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The......
The brain is actuated by billions of neurons with trillions of interconnections that regulate human behaviors.Understand......
Currently,the vertical drain consolidation problem is solved by numerous analytical solutions,such as time-dependent sol......
Coronavirus disease 2019 also known as COVID-19 has become a pandemic. The disease is caused by a beta coronavirus calle......
