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Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias and Lourdes Borrajo
In this study, we propose a novel Temporal Development Generative Adversarial Network (TD-GAN) for the generation and analysis of videos, with a particular focus on biological and medical applications. Inspired by Progressive Growing GAN (PG-GAN) and Tem...
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Samuel de Oliveira, Oguzhan Topsakal and Onur Toker
Automated Machine Learning (AutoML) is a subdomain of machine learning that seeks to expand the usability of traditional machine learning methods to non-expert users by automating various tasks which normally require manual configuration. Prior benchmark...
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Darian M. Onchis, Flavia Costi, Codruta Istin, Ciprian Cosmin Secasan and Gabriel V. Cozma
(1) Background: Lung cancers are the most common cancers worldwide, and prostate cancers are among the second in terms of the frequency of cancers diagnosed in men. Automatic ranking of the risk groups of such diseases is highly in demand, but the clinic...
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Erik Bollen, Bart Kuijpers, Valeria Soliani and Alejandro Vaisman
Sensor networks are used in an increasing number and variety of application areas, like traffic control or river monitoring. Sensors in these networks measure parameters of interest defined by domain experts and send these measurements to a central locat...
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Nikola Andelic and Sandi Baressi ?egota
This investigation underscores the paramount imperative of discerning network intrusions as a pivotal measure to fortify digital systems and shield sensitive data from unauthorized access, manipulation, and potential compromise. The principal aim of this...
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James B. Rosenzweig, Gerard Andonian, Ronald Agustsson, Petr M. Anisimov, Aurora Araujo, Fabio Bosco, Martina Carillo, Enrica Chiadroni, Luca Giannessi, Zhirong Huang, Atsushi Fukasawa, Dongsung Kim, Sergey Kutsaev, Gerard Lawler, Zenghai Li, Nathan Majernik, Pratik Manwani, Jared Maxson, Janwei Miao, Mauro Migliorati, Andrea Mostacci, Pietro Musumeci, Alex Murokh, Emilio Nanni, Sean O?Tool, Luigi Palumbo, River Robles, Yusuke Sakai, Evgenya I. Simakov, Madison Singleton, Bruno Spataro, Jingyi Tang, Sami Tantawi, Oliver Williams, Haoran Xu and Monika YadavaddShow full author listremoveHide full author list
Recently, considerable work has been directed at the development of an ultracompact X-ray free-electron laser (UCXFEL) based on emerging techniques in high-field cryogenic acceleration, with attendant dramatic improvements in electron beam brightness and...
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Peilun Ju, Yongfeng Ju and Jiacheng Song
This paper studies the asymptotic control problem of a class of large-scale high-order nonlinear systems (LSHONSs), and an asymptotic fuzzy adaptive dynamic surface controller is developed. Unknown nonlinear terms are learned online by fuzzy logic system...
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Run Zhang, Chengbing He, Lianyou Jing, Chaopeng Zhou, Chao Long and Jiachao Li
Underwater acoustic channels, influenced by time-varying, space-varying, frequency-varying, and multipath effects, pose significant interference challenges to underwater acoustic communication (UWAC) signals, especially in non-cooperative scenarios. The ...
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Seungtaek Lim, Jiwon Yoon, Hosaeng Lee and Hyeonju Kim
South Korea is currently in the preparatory stage of commercializing an ocean thermal energy conversion (OTEC) system, as the demonstration of a 1 MW scale OTEC system has been accomplished. However, the commercialization of OTEC requires the establishme...
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Ruijie Bian, Pamela Murray-Tuite, Joseph Trainor, Praveen Edara and Konstantinos Triantis
Phased evacuation is an under-studied strategy, and relatively little is known about compliance with the phased process. This study modelled households? responses to a phased evacuation order based on a household behavioral intention survey. About 66% of...
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