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Published in 2018 at "Computational Geosciences"
DOI: 10.1007/s10596-018-9770-4
Abstract: We propose a multi-fidelity system reduction technique that uses weighted graphs paired with three-dimensional discrete fracture network (DFN) modelling for efficient simulation of subsurface flow and transport in fractured media. DFN models are used to…
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Keywords:
reduction;
fidelity;
system;
dfn ... See more keywords
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Published in 2017 at "Acta Orthopaedica et Traumatologica Turcica"
DOI: 10.1016/j.aott.2017.08.003
Abstract: One third of the people aged 65 years and over fall every year, and 1–5% of these falls result in a fracture. For these people, history of fracture and surgery become a risk factor for…
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Keywords:
technique;
fracture;
dfn;
nail ... See more keywords
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Published in 2017 at "Engineering Geology"
DOI: 10.1016/j.enggeo.2017.09.013
Abstract: Fracture flow is the dominant flow in many cases in a fractured rock mass, which behaves more heterogeneous, anisotropic and irregular than porous flow because of the complexity of the fracture networks. Rock mass with…
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Keywords:
fracture;
dfn;
fractured rock;
rock mass ... See more keywords
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Published in 2024 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2024.3410690
Abstract: In this article, a 4-to-4 decoupling feeding network (DFN) is proposed for closely spaced array elements. With extra coupling paths provided by the DFN, mutual coupling between adjacent and nonadjacent elements can be effectively suppressed.…
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Keywords:
pairing capability;
port pairing;
feeding network;
decoupling feeding ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2023.3340219
Abstract: This paper proposes a new hybrid structure and microwave modeling method that combines polynomial regression with batch-normalized deep feedforward neural network (BN-DFN) to be used in high-dimensional microwave circuit modeling. Utilizing the proposed BN-DFN method…
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Keywords:
microwave modeling;
dimensional microwave;
high dimensional;
dfn ... See more keywords
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Published in 2024 at "BioMed Research International"
DOI: 10.1155/2024/9267554
Abstract: Purpose Segmentation of hepatocellular carcinoma (HCC) is crucial; however, manual segmentation is subjective and time-consuming. Accurate and automatic lesion contouring for HCC is desirable in clinical practice. In response to this need, our study introduced…
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Keywords:
deep learning;
method;
radiologist intervention;
segmentation ... See more keywords
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Published in 2024 at "Blood"
DOI: 10.1182/blood-2024-205457
Abstract: Introduction MRD monitoring is recommended for treatment response evaluation in clinical AML trials (ELN-2022 guidelines: Heuser et al, PMID 34724563). Besides molecular biology methods, multiparametric flow cytometry represents the most reliable approach. In this study,…
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Keywords:
cd34 cd38;
laip dfn;
eln 2022;
dfn ... See more keywords