Results 181 to 190 of about 51,881 (334)

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue   +4 more
wiley   +1 more source

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu   +5 more
wiley   +1 more source

Determination of thermal comfort among nurses working with personal protective equipment in COVID-19 clinics. [PDF]

open access: yesInt J Nurs Pract, 2022
Karahan A   +9 more
europepmc   +1 more source

Participation for mental health service development in China: Conditions, challenges, facilitators, and outcomes

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract This study analyzes a participatory project to develop peer support services for people with serious mental illnesses (SMIs) in China. Drawing on interviews with psychiatrists, social workers, service users, and a family caregiver, it examines the conditions, challenges, facilitators, and outcomes of participation in a paternalistic context ...
Zhiying Ma   +6 more
wiley   +1 more source

Fanger's thermal comfort and draught models

open access: yes, 2003
In this review, we assessed the validity of two commonly used thermal comfort models. The first, Fanger's Predicted Mean Vote (PMV) Model, combines four physical variables (air temperature, air velocity, mean radiant temperature, and relative humidity), and two personal variables (clothing insulation and activity level) into an index that can be used ...
openaire   +1 more source

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