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Mihai Petru Stef and Zsolt Alfred Polgar
With the constant growth of software-defined radio (SDR) technologies in fields related to wireless communications, the need for efficient ways of testing and evaluating the physical-layer (PHY) protocols developed for these technologies in real-life tra...
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Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
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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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Fabio Bosco, Gerard Andonian, Obed Camacho, Martina Carillo, Enrica Chiadroni, Anna Giribono, Gerard Lawler, Nathan Majernik, Pratik Manwani, Mauro Migliorati, Andrea Mostacci, Luigi Palumbo, Gilles Jacopo Silvi, Bruno Spataro, Cristina Vaccarezza, Monika Yadav and James Rosenzweig
Particle-driven plasma wakefield acceleration (PWFA) exploits the intense wakefields excited in a plasma by a high-brightness driver beam in order to accelerate a trailing, properly delayed witness electron beam. Such a configuration offers notable advan...
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Soe Thandar Aung, Nobuo Funabiki, Lynn Htet Aung, Safira Adine Kinari, Mustika Mentari and Khaing Hsu Wai
The Flutter framework with Dart programming allows developers to effortlessly build applications for both web and mobile from a single codebase. It enables efficient conversions to native codes for mobile apps and optimized JavaScript for web browsers. S...
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