Results 151 to 160 of about 1,139,102 (303)

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang   +4 more
wiley   +1 more source

Current guidelines in aviation ophthalmology and challenges: A review. [PDF]

open access: yesIndian J Ophthalmol
Singh AK   +7 more
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun   +6 more
wiley   +1 more source

Between Hearts and Gears: Technology at the Service of Life. [PDF]

open access: yesBraz J Cardiovasc Surg
Duarte Junior PC   +2 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

Medico-legal cases involving gastroenterologists in Canada between 2017 and 2021. [PDF]

open access: yesJ Can Assoc Gastroenterol
Mostafapour M   +7 more
europepmc   +1 more source

1999 Survey of Rhode Island Law: Cases: Civil Procedure [PDF]

open access: yes, 2000
Beauchesne, Melissa Coulombe   +3 more
core   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

open access: yesAdvanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy