Results 171 to 180 of about 2,244,169 (389)

A shear failure analysis of ultra‐high‐performance concrete based on modified contact density and concrete damaged plasticity models

open access: yesStructural Concrete, EarlyView.
Abstract Ultra‐high‐performance concrete (UHPC) becomes a promising composite material in structural concrete due to its exceptional mechanical and durability properties. However, the performance and damage characteristics of UHPC under different loading scenarios remain a subject of ongoing research.
Kefiyalew Zerfu   +2 more
wiley   +1 more source

Effective Data Selection for Seismic Interpretation through Disagreement [PDF]

open access: yesarXiv
This paper presents a discussion on data selection for deep learning in the field of seismic interpretation. In order to achieve a robust generalization to the target volume, it is crucial to identify the specific samples are the most informative to the training process.
arxiv  

A Multimodal Interactive Framework for Science Assessment in the Era of Generative Artificial Intelligence

open access: yesJournal of Research in Science Teaching, EarlyView.
ABSTRACT The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially ...
Yizhu Gao   +4 more
wiley   +1 more source

Multiple Reflections on Huygens' Principle

open access: yesGeophysical Prospecting, EarlyView.
ABSTRACT According to Huygens' principle, all points on a wave front act as secondary sources emitting spherical waves and the envelope of these spherical waves forms a new wave front. In the mathematical formulation of Huygens' principle, the waves emitted by the secondary sources are represented by Green's functions.
Kees Wapenaar
wiley   +1 more source

Seismic Image Denoising With A Physics-Constrained Deep Image Prior [PDF]

open access: yesarXiv
Seismic images often contain both coherent and random artifacts which complicate their interpretation. To mitigate these artifacts, we introduce a novel unsupervised deep-learning method based on Deep Image Prior (DIP) which uses convolutional neural networks.
arxiv  

William A. Robson and the Making of English Administrative Law

open access: yesThe Modern Law Review, EarlyView.
This article examines the role of William A. Robson (1895‐1980) in the making of English administrative law. Criticising English common lawyers who believed that the growing responsibility of officials in law‐making and dispute resolution was a symptom of ‘administrative lawlessness’ that was sapping the foundations of English liberties, Robson argued ...
Martin Loughlin
wiley   +1 more source

Impacts of seismic resolution on fault interpretation: Insights from seismic modelling

open access: yes, 2021
T. S. Faleide   +6 more
semanticscholar   +1 more source

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment

open access: yesMolecular Ecology Resources, EarlyView.
ABSTRACT The ability to assign biological samples to source populations with high accuracy and precision based on genetic variation is important for numerous applications from ecological studies through wildlife conservation to epidemiology. However, population assignment when genetic differentiation is low is challenging, and methods to address this ...
K. Birchard   +4 more
wiley   +1 more source

Interrelation of conductivity, seismic velocities and the seismicity for Central Tien Shan lithosphere

open access: yesЛитосфера, 2015
The work is devoted to investigation of the deep structure of the Central Tien Shan lithosphere. Comparative analysis of seismic tomography models and results of interpretation of magnetotelluric and magnetovariational soundings along “NARYN” (76°E ...
E. A. Bataleva   +2 more
doaj   +2 more sources

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