Results 31 to 40 of about 9,205,712 (248)
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.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
Intelligent and Converged NetworksThe communication resources scheduling problem of the satellite network contains the user-satellite association problem, the user-beam matching problem, and the beam power allocation problem.
Jiaxuan Xie, Linling Kuang, Shan Gao
doaj +1 more source
IEEE Access, 2019 In this paper, an array diagnosis method using amplitude-only far-field data in impulsive noise environment is proposed. For amplitude-only far-field data, the power of the observed field is quadratic with respect to array excitation, which leads to a ...
Ying Zhang +3 more
doaj +1 more source
Stability and Scalarization for a Unified Vector Optimization Problem [PDF]
Journal of Optimization Theory and Applications, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shiva Kapoor, C. S. Lalitha
openaire +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
The Optimality Conditions of Differentiable Vector Optimization Problems
Journal of Mathematical Analysis and Applications, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Strict Efficiency in Vector Optimization with Nearly Convexlike Set-Valued Maps
Abstract and Applied Analysis, 2013 The concept of the well posedness for a special scalar problem is linked with strictly efficient solutions of vector optimization problem involving nearly convexlike set-valued maps.
Xiaohong Hu, Zhimiao Fang, Yunxuan Xiong
doaj +1 more source
Robust Multi-Criteria Traffic Network Equilibrium Problems with Path Capacity Constraints
Axioms, 2023 With the progress of society and the diversification of transportation modes, people are faced with more and more complicated travel choices, and thus, multi-criteria route choosing optimization problems have drawn increased attention in recent years.
Xing-Xing Ma, Yang-Dong Xu
doaj +1 more source