Results 171 to 180 of about 6,828,636 (339)

COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression [PDF]

Zewen Yang, Xiaobing Dai, Zhenxiao Yin, Hang Zhao, Zhijun Li, C. C. Chan   +5 more
openalex   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Common Ground: Why Should University Faculty Partner with Virginia Cooperative Extension?

, 2014
The Virginia Beginning Farmer and Rancher Coalition Program (VBFRCP) is a collaborative effort through Virginia Cooperative Extension and Virginia Tech that reaches across the commonwealth to provide educational opportunities for beginning farmers and ...
Niewolny, Kimberly L., Gehrt, Karen Roth
core  

Cooperative learning in anatomy: Comparing virtual avatars and human specimens. [PDF]

Anat Sci Educ
Maurer C, Meuser AH, Manhal S, Hammer N, Löcker SJ, Cakmak YO, Erlbacher K.   +6 more
europepmc   +1 more source

Effects of Online Cooperative Learning on Students' Problem-Solving Ability and Learning Satisfaction. [PDF]

Front Psychol, 2022
Wang YP, Wu TJ.
europepmc   +1 more source

CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning [PDF]

Naimur Rahman Chowdhury, Shatabdi Sen Prapti, Md. Salehin Seyam, Limon Bin Hossain   +3 more
openalex   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Artificial intelligence assisted design of a novel cooperative learning technique for higher education. [PDF]

Sci Rep
Tutal Ö.
europepmc   +1 more source

Positive Influence of Cooperative Learning and Emotion Regulation on EFL Learners' Foreign Language Enjoyment. [PDF]

Int J Environ Res Public Health, 2022
Zheng S, Zhou X.
europepmc   +1 more source

Group-Level Heterogeneous Reinforcement-Learning-Guided Jellyfish Search Optimization for Cooperative Multi-UAV Path Planning Under Dynamic and Adversarial Conditions

Nader Alotaibi, Wojdan M. BinSaeedan
openalex   +1 more source