Results 61 to 70 of about 8,567 (212)

Empirical Evidence Regarding Few-Shot Learning for Scene Classification in Remote Sensing Images

Applied Sciences
Few-shot learning (FSL) is a learning paradigm which aims to address the issue of machine/deep learning techniques which traditionally need huge amounts of labelled data to work out.
Valdivino Alexandre de Santiago Júnior
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +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

Biomimetic Polymerization of Tellurocysteine: Breaking the Natural Amino Acid Radioprotection Limitation

Advanced Science, EarlyView.
Inspired by natural amino acid polymer‐melanin systems, this study strategically incorporated tellurocysteine to develop advanced radiation‐shielding materials. This approach transformed the primary interaction mechanism between melanin‐based materials and incident photons from Compton scattering to the photoelectric effect. Tellurocysteine‐polymerized
Wei Chen, Hanjie Zhu, Yue Zhang, Yuqing Qiao, Ruotong Deng, Huaping Xu, Wei Cao   +6 more
wiley   +1 more source

The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

Advanced Science, EarlyView.
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang, Menghan Huang, Ruihua Mao, Xiaohan Zhang, Zhaohui Wu, Xiaofeng Pang, Tong Lin, Dongyuan Cui, Sai An, Yu‐Fei Song   +9 more
wiley   +1 more source

Causal inference

Revista de la Facultad de Ciencias de la Salud, 2014
Establishing causality has been a problem throughout history of philosophy of science. This paper discusses the philosophy of causal inference along the different school of thoughts and methods: Rationalism, Empiricism, Inductive method, Hypothetical ...
Richard Shoemaker
doaj   +2 more sources

Orthogonal Design of Competing Deprotonation Process in Cation‐Mediated Ni(OH)2 for Achieving Industrial Level Biomass Electrooxidation

Advanced Science, EarlyView.
A Cu‐mediated Ni(OH)2 catalyst with orthogonal activity by precise valence engineering simultaneously accelerates rate‐determining aldehyde C─H activation in HMF oxidation and impedes O─H deprotonation in competing OER. This multi‐functional synergistic catalysis enables FDCA production at industrial‐level current densities without sacrificing FEFDCA ...
Junge Yang, Zhengjie Chen, Lili Zhang, Tao Zhang, Shida Bao, Jing Peng, Hui Pan, Hui‐Ming Cheng   +7 more
wiley   +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

Hydrothermal Embedding of Pd Single Atoms Into SnO2 for Efficient CO Oxidation

Advanced Science, EarlyView.
By applying hydrothermal regulation to SnO2‐supported PdO, we achieve atomic dispersion of Pd into the SnO2 lattice, which activates the lattice oxygen neighboring Pd atoms to generate oxygen vacancies and facilitates subsequent O2 activation, thereby promoting CO oxidation to proceed via a low‐energy‐barrier MvK pathway while avoiding CO poisoning ...
Yingsheng An, Min Xiao, Mengyuan Zhang, Yao Lv, Yanwei Sun, Zhi Liu, Wenbo Pei, Hao Guo, Guangyan Xu, Yong Yan, Sheng Dai, Yunbo Yu, Hong He   +12 more
wiley   +1 more source

GENERALIZED ALGORITHM OF COMBINE PROCESS ADJUSTMENT BASED ON FUZZY KNOWLEDGE MODELS

Advanced Engineering Research, 2013
The problem of creating the mechanism of an expert system fuzzy inference meant for decision-making on the combine process adjustment is considered.
Valery Petrovich Dimitrov, Lyudmila Victorovna Borisova   +1 more
doaj   +1 more source