Results 31 to 40 of about 580,002 (195)

The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity.

open access: yesPsychology Review, 2002
The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a "generic" error-processing system associated with the anterior
Clay B. Holroyd, M. Coles
semanticscholar   +1 more source

Compression Behavior of Basalt Fiber-Reinforced Polymer Tube-Confined Coconut Fiber-Reinforced Concrete

open access: yesAdvances in Materials Science and Engineering, 2018
Basalt fiber is cheap and has excellent mechanical performance. In addition, in combination with the environmentally friendly coconut fiber, it can contribute to sustainable construction materials.
Yang Lv   +5 more
doaj   +1 more source

Nondestructive Controllable Grouting: A Novel Method to Correct Deviation of Building Foundation

open access: yesAdvances in Civil Engineering, 2023
Nondestructive controllable grouting is a novel method for the accurate, reliable, and nondestructive lifting of buildings. In this method, the grouting construction is divided into several stages.
Xuedong Cui
doaj   +1 more source

Dynamic Analysis on the Parametric Resonance of the Tower–Multicable–Beam Coupled System

open access: yesApplied Sciences, 2022
Considering the effect of the bridge deck’s bending stiffness and the indirect effect of adjacent cables (CEB), this paper aims to propose a refined model to reliably analyze the complex internal resonance mechanism of the tower–multicable–beam coupled ...
Shuanhai He   +5 more
doaj   +1 more source

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey [PDF]

open access: yesarXiv, 2021
Deep reinforcement learning augments the reinforcement learning framework and utilizes the powerful representation of deep neural networks. Recent works have demonstrated the remarkable successes of deep reinforcement learning in various domains including finance, medicine, healthcare, video games, robotics, and computer vision.
arxiv  

Study on the Shear Performance of the Interface between Post-Cast Epoxy Resin Concrete and Ordinary Concrete

open access: yesBuildings
The interface of fresh-aged concrete represents a critical vulnerability within monolithic assembled monolithic concrete structures. In this paper, the shear performance of the interface between post-cast epoxy resin concrete and standard concrete is ...
Peiqi Chen   +3 more
doaj   +1 more source

Three-Dimensional Nonlinear Seismic Response of Immersed Tunnel in Horizontally Layered Site under Obliquely Incident SV Waves

open access: yesShock and Vibration, 2019
A three-dimensional (3D) detailed numerical model of an immersed tunnel in a horizontally layered site is established in this study. The 3D seismic response of the immersed tunnel in a horizontally layered site subjected to obliquely incident waves is ...
Xiaojie Zhou   +4 more
doaj   +1 more source

Quality Diversity Optimization Method for Bilinear Matrix Inequality Problems in Control System Design

open access: yesIEEE Access, 2023
In this paper, a quality diversity optimization method (QDOM) based on an adaptive bound-searching algorithm and diversity-selecting immune algorithm is proposed for solving bilinear matrix inequality (BMI) problems in control system design. By using the
Shiuan-Yeh Chen   +2 more
doaj   +1 more source

Denture reinforcement via topology optimization [PDF]

open access: yesarXiv, 2023
We present a computational design method that optimizes the reinforcement of dentures and increases the stiffness of dentures. Our approach optimally places reinforcement in the denture, which modern multi-material three-dimensional printers could implement.
arxiv  

Optimization of robustness based on reinforced nodes in a modular network [PDF]

open access: yes, 2021
Many systems such as critical infrastructure exhibit a modular structure with many links within the modules and few links between them. One approach to increase the robustness of these systems is to reinforce a fraction of the nodes in each module, so that the reinforced nodes provide additional needed sources for themselves as well as for their nearby
arxiv   +1 more source

Home - About - Disclaimer - Privacy