Articles with "dfn" as a keyword



Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics

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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… read more here.

Keywords: reduction; fidelity; system; dfn ... See more keywords

“Kissing Nail Technique” for the exchange of intramedullary implants in adjacent peri-implant fractures☆

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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… read more here.

Keywords: technique; fracture; dfn; nail ... See more keywords

Equivalent discrete fracture networks for modelling fluid flow in highly fractured rock mass

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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… read more here.

Keywords: fracture; dfn; fractured rock; rock mass ... See more keywords

A 4-to-4 Decoupling Feeding Network With Port-Pairing Capability for Compact Phased Arrays

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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.… read more here.

Keywords: pairing capability; port pairing; feeding network; decoupling feeding ... See more keywords

Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling

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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… read more here.

Keywords: microwave modeling; dimensional microwave; high dimensional; dfn ... See more keywords

Deep Learning Combined with Radiologist's Intervention Achieves Accurate Segmentation of Hepatocellular Carcinoma in Dual-Phase Magnetic Resonance Images

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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… read more here.

Keywords: deep learning; method; radiologist intervention; segmentation ... See more keywords

Flow MRD Monitoring Combining Laip/Dfn and CD34+CD38- LSCs Is a Strong Predictor of Outcome in Adult AML Independently of the ELN-2022 Risk: First Results from the Multicentric Acute Leukemia French Intergroup MRD Flow Network

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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,… read more here.

Keywords: cd34 cd38; laip dfn; eln 2022; dfn ... See more keywords