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Published in 2020 at "Advanced Engineering Materials"
DOI: 10.1002/adem.201901197
Abstract: The quantitative analysis of microstructural features is a key to understanding the micromechanical behavior of metal matrix composites (MMCs), which is a premise for their use in practice. Herein, a 3D microstructural characterization of a…
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Keywords:
microstructural characterization;
advanced deep;
deep learning;
matrix composites ... See more keywords
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Published in 2024 at "RSC Advances"
DOI: 10.1039/d4ra06113f
Abstract: In this study, we present a comprehensive approach for the morphological analysis of palladium on carbon (Pd/C) nanoparticles utilizing scanning electron microscopy (SEM) imaging and advanced deep learning techniques. A deep learning detection model based…
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Keywords:
deep learning;
morphological analysis;
analysis;
imaging advanced ... See more keywords
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Published in 2025 at "Physical review. E"
DOI: 10.1103/49t8-mh9k
Abstract: Pruning the parameters and structure of neural networks reduces computational complexity, energy consumption, and latency during inference. Recently, an underlying mechanism for successful deep learning (DL) was presented based on a method that quantitatively measures…
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Keywords:
filter performance;
filter;
architecture;
performance ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1422963
Abstract: To see if HHV-6 may be a cause of infertility, researchers looked at 18 men and 10 women who had unexplained critical fertility and had at least one prior pregnancy. HHV-6 DNA was discovered in…
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Keywords:
dna;
advanced deep;
herpes virus;
infertility ... See more keywords
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Published in 2024 at "Structural Health Monitoring"
DOI: 10.1177/14759217241235637
Abstract: Underwater object detection (UOD) is an essential activity in maintaining and monitoring underwater infrastructure, playing an important role in their efficient and low-risk asset management. In underwater environments, sonar, recognized for overcoming the limitations of…
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Keywords:
object detection;
framework;
sonar;
underwater object ... See more keywords
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Published in 2024 at "Studies in health technology and informatics"
DOI: 10.3233/shti240622
Abstract: The intersection of COVID-19 and pulmonary embolism (PE) has posed unprecedented challenges in medical diagnostics. The critical nature of PE and its increased incidence during the pandemic underline the need for improved detection methods. This…
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Keywords:
detection;
deep learning;
covid;
pulmonary embolism ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15158670
Abstract: Artificial intelligence technologies, particularly machine learning and computer vision, are being increasingly utilized to preserve, restore, and create immersive virtual experiences with cultural artifacts and sites, thus aiding in conserving cultural heritage and making it…
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Keywords:
deep learning;
learning methods;
egyptian monuments;
images egyptian ... See more keywords
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Published in 2024 at "Energies"
DOI: 10.3390/en17164132
Abstract: In the current era of energy conservation and emission reduction, the development of electric and other new energy vehicles is booming. With their various attributes, lithium batteries have become the ideal power source for new…
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Keywords:
deep learning;
advanced deep;
energy vehicles;
learning ... See more keywords
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Published in 2021 at "Future Internet"
DOI: 10.3390/fi13120306
Abstract: Object counting is an active research area that gained more attention in the past few years. In smart cities, vehicle counting plays a crucial role in urban planning and management of the Intelligent Transportation Systems…
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Keywords:
deep learning;
advanced deep;
approach;
object counting ... See more keywords