Results 61 to 70 of about 66,774 (311)
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Medical imaging analysis with artificial neural networks
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
High-voltage line loss prediction based on improved EO-BP neural network
Dianzi Jishu Yingyong, 2023 Aiming at the problem of low accuracy of high voltage line loss prediction, a line loss prediction model is proposed based on improved BP neural network and Equalization optimizer (EO) algorithm.
Xu Limei +4 more
doaj +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field
Kongzhi Yu Xinxi Jishu, 2019 Wind field forecast is of great significance for aerostat trajectory prediction. Traditional theoretical models can only predict wind speed in the next few hours, while BP neural network models can predict wind speeds in next few days. Therefore, in this
YUAN Junjie +5 more
doaj
Research on improved BP neural network PID controller in gas concentration control
四川大学学报. 自然科学版, 2020 The process of gas concentration control in animal hypoxia experiment is timevarying and nonlinear，Combining BP neural network with traditional PID control can achieve better control results, but there are still some problems such as slow convergence ...
LI Hang +3 more
doaj
Design of Intrusion Detection System for Internet of Things Based on Improved BP Neural Network
IEEE Access, 2019 With the advent of global 5G networks, the Internet of Things will no longer be limited by network speed and traffic. With the large-scale application of the Internet of Things, people pay more and more attention to the security of the Internet of Things.
Aimin Yang +4 more
doaj +1 more source
Shaping Matter with Acoustic Waves: From Particles to Functional Structures
Advanced Functional Materials, EarlyView.Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg +5 more
wiley +1 more source
Pressure Sensor Error Compensation Algorithm Based on MEA-BP Neural Network
水下无人系统学报, 2023 Piezoresistive pressure sensors are sensitive to environmental changes. Ambient temperature changes would produce thermal drift, which affects sensor performance.
Hao SHI +4 more
doaj +1 more source