Results 31 to 40 of about 35,671 (228)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Fixed points and coincidence points for multimaps with not necessarily bounded images

Fixed Point Theory and Applications, 2004
In metric spaces, single-valued self-maps and multimaps with closed images are considered and fixed point and coincidence point theorems for such maps have been obtained without using the (extended) Hausdorff metric, thereby generalizing many results in
Naidu SVR
doaj  

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Non-invasive quantification of liver fibrosis regression following successful treatment of chronic hepatitis C with direct acting antivirals

Romanian Journal of Laboratory Medicine, 2017
Introduction. The past years have revolutionized the treatment of hepatitis C virus (HCV) infection, with high rates of sustained virologic response (SVR). Furthermore, liver fibrosis has recently been redefined as a dynamic, reversible process. Methods.
Nițescu Maria, Vâjâitu Cristina, Săndulescu Oana, Streinu-Cercel Adrian, Pițigoi Daniela, Preoțescu Liliana Lucia, Streinu-Cercel Anca   +6 more
doaj   +1 more source

EVALUATION OF SVR AND RANDOM FOREST MODELS FOR ACCURATE PREDICTION OF ELECTRONIC FUEL INJECTOR BEHAVIOR IN COMMON-RAIL SYSTEMS [PDF]

Scientific Journal of Silesian University of Technology. Series Transport
In this study, machine learning algorithms were applied to predict the main injection quantity in a high-pressure common rail system on a diesel engine test bench.
Quyet TA DUC, Khoa NGUYEN XUAN, Nghia NGUYEN TUAN, Vinh NGUYEN THANH, Manh LE DINH, Hung TRINH DUY   +5 more
doaj   +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

Predicting the capillary water absorption values of building stones by hybrid models

Journal of Applied Science and Engineering
The determination of rock’s Capillary water absorption (CWA) requires extensive and complex empirical investigations, while forecasting algorithms could reduce the cost and time required.
Gang Li, Yufei Fu, Zixin Deng, Yuan Huang   +3 more
doaj   +1 more source

Performance Comparison of Machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data

Remote Sensing, 2019
Salt-affected soil is a prominent ecological and environmental problem in dry farming areas throughout the world. China has nearly 9.9 million km2 of salt-affected land.
Sijia Wang, Yunhao Chen, Mingguo Wang, Jing Li   +3 more
doaj   +1 more source

Modelling lock-down strictness for COVID-19 pandemic in ASEAN countries by using hybrid ARIMA-SVR and hybrid SEIR-ANN

Arab Journal of Basic and Applied Sciences, 2021
ASEAN, include Indonesia, Malaysia, Philippines, Singapore, and Thailand, are the countries with ongoing transmission of SARS-COV-2, the virus that causes COVID-19.
Maharani A. Bakar, Norizan Mohamed, Danang A. Pratama, M. Fawwaz A. Yusran, Nor Azlida Aleng, Z. Yanuar, L. Niken   +6 more
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source