Results 51 to 60 of about 1,840,782 (294)

Augmented Lagrangian Method for Finding Minimum Norm Solution to the Absolute Value Equation [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2017
‎In this paper‎, ‎we give an algorithm to compute the minimum 1-norm solution to the absolute value equation (AVE)‎. ‎The augmented Lagrangian method is investigated for solving this problems‎ .
Saeed Ketabchi, Hossein Moosaei
doaj   +1 more source

Data-Driven Method for Missing Harmonic Data Completion

open access: yesIEEE Access, 2021
In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu   +4 more
doaj   +1 more source

A Superlubricated Magnetically Steerable Microcatheter with Integrated Optical and Fluidic Channels

open access: yesAdvanced Robotics Research, EarlyView.
A magnetically steerable microcatheter with integrated optical and fluidic channels is developed for multifunctional navigation in tortuous anatomical environments. A surface‐grafted hydrogel coating enables low‐friction actuation. The device demonstrates stable light and fluid delivery during magnetic manipulation, offering a compact platform for ...
Yuntian Du   +5 more
wiley   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Parameter Estimation of Electromechanical Oscillation Based on a Constrained EKF with C&I-PSO

open access: yesEnergies, 2018
By combining together the extended Kalman filter with a newly developed C&I particle swarm optimization algorithm (C&I-PSO), a novel estimation method is proposed for parameter estimation of electromechanical oscillation, in which critical ...
Yonghui Sun   +5 more
doaj   +1 more source

An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning

open access: yesIEEE Access, 2020
Chicken swarm optimization (CSO) algorithm is one of very effective intelligence optimization algorithms, which has good performance in solving global optimization problems (GOPs). However, the CSO algorithm performs relatively poorly in complex GOPs for
Ximing Liang, Dechang Kou, Long Wen
doaj   +1 more source

The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems

open access: yesAbstract and Applied Analysis, 2014
In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining ...
Mohd Asrul Hery Ibrahim   +2 more
doaj   +1 more source

HUBO formulations for solving the eigenvalue problem

open access: yesResults in Control and Optimization, 2023
Solving the eigenvalue problem is particularly important in almost all fields of science and engineering. With the development of quantum computers, multiple algorithms have been proposed for this purpose.
Kyungtaek Jun, Hyunju Lee
doaj   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

open access: yesAdvanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid   +7 more
wiley   +1 more source

Operational Properties of SCN Function, Optimization Condition, and Exactness of Penalty Function for SCN Optimization

open access: yesJournal of Mathematics
This paper defines a strong convertible nonconvex (SCN) function for solving the unconstrained optimization problems with the nonconvex or nonsmooth (nondifferentiable) function.
Min Jiang   +3 more
doaj   +1 more source

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