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François Legrand, Richard Macwan, Alain Lalande, Lisa Métairie and Thomas Decourselle
Automated Cardiac Magnetic Resonance segmentation serves as a crucial tool for the evaluation of cardiac function, facilitating faster clinical assessments that prove advantageous for both practitioners and patients alike. Recent studies have predominant...
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Gulsum Alicioglu and Bo Sun
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for sensitiv...
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Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad and Wai Lok Woo
Speech separation is a well-known problem, especially when there is only one sound mixture available. Estimating the Ideal Binary Mask (IBM) is one solution to this problem. Recent research has focused on the supervised classification approach. The chall...
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Shariq Shah, Hossein Ghomeshi, Edlira Vakaj, Emmett Cooper and Rasheed Mohammad
Human communication is predominantly expressed through speech and writing, which are powerful mediums for conveying thoughts and opinions. Researchers have been studying the analysis of human sentiments for a long time, including the emerging area of bim...
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Mark Burgin and Rao Mikkilineni
Some researchers suggest that information is a form of matter, calling it the fifth state of matter or the fifth element. Recent results from the general theory of information (GTI) contradict this. This paper aims to explain and prove that the claims of...
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Dennis Edler and Olaf Kühne
Cartographic representations are subject to sensory perception and rely on the translation of sensory perceptions into cartographic symbols. In this respect, cartography is closely related to aesthetics, as it represents an academic discipline of sensory...
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Andrzej Radecki and Tomasz Rybicki
A method of precise and real-like embedded systems peripherals visualization in virtual simulations is presented in the article. For high frequency peripheral inputs, blended graphics of real-look representations of peripherals are used, allowing for an ...
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Cynthia Pasquel-López and Gabriel Valerio-Ureña
(1) Background: The COVID-19 pandemic forced educational institutions to radically change their teaching and learning methods. Many institutions found it a challenge when they opted to deliver classes online. Given the success of several EduTubers, this ...
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Michal Maciusowicz and Grzegorz Psuj
Magnetic Barkhausen Noise (MBN) is a method being currently considered by many research and development centers, as it provides knowledge about the properties and current state of the examined material. Due to the practical aspects, magnetic anisotropy e...
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Carlos Lassance, Vincent Gripon and Antonio Ortega
Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists of training composite architectures in an end-to-end fashion, where inputs...
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