Results 41 to 50 of about 446,265 (304)
The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system.
Bustanul Arifin +3 more
semanticscholar +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Electric Power Steering Automation for Autonomous Driving
Trabajo presentado en la 10th International Conference on Computer Aided Systems Theory (EUROCAST 2005), celebrada en Las Palmas de Gran Canaria (España), del 7 al 11 de febrero de 2005 The automatic control of a vehicle's steering wheel is now one of the most important challenges in the Intelligent Transportation Systems field.
Naranjo, José E. +3 more
openaire +2 more sources
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Investigation on Different Driving Cycle and Scenarios Considering the Autonomous Electric Vehicles
This study presents a series of analyzes considering the traction and steering demands of an autonomous electric vehicle (AEV) as a shuttle. The considered analyzes in here are dealt with as driving cycle (DC) and driving scenarios (DS) to assess the ...
Uğur Demir, Zeliha Kamış Kocabıçak
doaj +1 more source
Electric power steering (EPS) poses significant control challenges in autonomous vehicles due to their inherent complexity and non-linearity. This study explores the application of artificial neural network (ANN) to address these limitations.
Rodi Hartono +2 more
semanticscholar +1 more source
Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems
Electric power steering (EPS) has emerged as a valuable driver-assistance system. In an EPS system, an extensive amount of data collected from various sensors is analyzed to enhance the driving experience.
Kimleang Kea +2 more
semanticscholar +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Modeling and control of an electric power steering system using model reference adaptive controller
Power-assisted steering systems (or power steering systems) are widely used in vehicles nowadays. Thus, evaluating the stability and accuracy of the control system for the power-assisted steering process is necessary.
Le Hoai Nam, Pham Anh-Duc
doaj +1 more source

