Results 41 to 50 of about 59,115 (260)
Towards Safety-Risk Prediction of CBTC Systems With Deep Learning and Formal Methods
Communication-Based Train Control System (CBTC) system is an automated system for train control based on bidirectional train-ground communication. Safety-risk estimation is a vital approach that strives to guide the CBTC system to guarantee the safe ...
Jing Liu +4 more
doaj +1 more source
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
The enhancement of the carrying capacity of high-speed railway and the acceleration of train speed lead to the proliferation of signal interference in the communication network, which leads to the degradation of network performance and user service ...
Jie Sheng +5 more
doaj +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Main Control Unit Dual Network Redundancy Design and Implementation Based on MVB and TRDP
In the train communication network, WTB and MVB were the main communication modes. Based on the research and development of a power centralized EMUs, the train bus control mode based on MVB and Ethernet was studied.
ZHOU Haoshang, ZHANG Libin, GAO Zhaoling
doaj
Training deep neural networks for binary communication with the Whetstone method [PDF]
The computational cost of deep neural networks presents challenges to broadly deploying these algorithms. Low-power and embedded neuromorphic processors offer potentially dramatic performance-per-watt improvements over traditional processors. However, programming these brain-inspired platforms generally requires platform-specific expertise.
William Severa +4 more
openaire +1 more source
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Analysis and prospect of communication technology in smart urban rail
The particularity of the urban rail transit environment leads to the problems such as reducing communication reliability, delay performance and operating efficiency bottlenecks.Therefore, the demand for urban rail communication was analyzed from the ...
Junhui ZHAO, Danyang ZHANG, Lin HE
doaj +2 more sources
Typical Faults Analysis and Troubleshooting of a MetroTrain MVB Communication Network Control System
The topological structure of a metro train network control system was introduced, and the design of MVB communication parameters and communication quality evaluation criteria was expounded.
Zhengwei HU +4 more
doaj

