Results 91 to 100 of about 24,817,127 (318)
Performance of Sensitivity based NMPC Updates in Automotive Applications
, 2014 In this work we consider a half car model which is subject to unknown but measurable disturbances. To control this system, we impose a combination of model predictive control without stabilizing terminal constraints or cost to generate a nominal solution
A. Fiacco +18 more
core +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
Advanced Intelligent Systems, EarlyView.This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
Mechanical Engineering JournalDriver assistance and automated driving systems on general roads are crucial for reducing traffic accidents and ensuring the freedom of mobility in aging societies. To foster trust in these systems, it’s essential to achieve vehicle movements that people
Tohru YOSHIOKA, Keisuke SUZUKI
doaj +1 more source
Imitating Driver Behavior with Generative Adversarial Networks
, 2017 The ability to accurately predict and simulate human driving behavior is critical for the development of intelligent transportation systems. Traditional modeling methods have employed simple parametric models and behavioral cloning.
Kochenderfer, Mykel +3 more
core +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Griscelli Syndrome Type 2 (GS2) is a rare autosomal recessive disorder caused by pathogenic mutations in the RAB27A gene. Typically, it is characterized by cutaneous hypopigmentation, immunodeficiency, with or without neurological abnormalities secondary to hemophagocytic lymphohistiocytosis (HLH). Without treatment, GS2 often results in fatal
Dzhoy Papingi +6 more
wiley +1 more source
An asynchronous leapfrog method II [PDF]
, 2016 A second order explicit one-step numerical method for the initial value problem of the general ordinary differential equation is proposed. It is obtained by natural modifications of the well-known leapfrog method, which is a second order, two-step ...
Mutze, Ulrich
core
, 2011 We present a high-performance N-body code for self-gravitating collisional systems accelerated with the aid of a new SIMD instruction set extension of the x86 architecture: Advanced Vector eXtensions (AVX), an enhanced version of the Streaming SIMD ...
Aarseth +13 more
core +1 more source
Research progress on biomarkers of traumatic brain injury
Animal Models and Experimental Medicine, EarlyView.Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen +8 more
wiley +1 more source
Personalized Brain-Computer Interface Models for Motor Rehabilitation
, 2017 We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES).
Grosse-Wentrup, Moritz +5 more
core +1 more source