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Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes and Rui M. L. Ferreira
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curat...
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Avinash Singh, Richard Adeyemi Ikuesan and Hein Venter
The growing sophistication of malware has resulted in diverse challenges, especially among security researchers who are expected to develop mechanisms to thwart these malicious attacks. While security researchers have turned to machine learning to combat...
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Ahmed I. H. Ismail, Abdalhaleem A. Hassaballa, Abdulrahman M. Almadini and Samah Daffalla
Diversity in date palm (DP) cultivars plays a crucial role in the agroecosystems of several countries, such as the Kingdom of Saudi Arabia (KSA). This study aims to map and analyze the spatial distribution of the most grown DP cultivars (Khlas, Ruziz, an...
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Diego Garat and Dina Wonsever
In order to provide open access to data of public interest, it is often necessary to perform several data curation processes. In some cases, such as biological databases, curation involves quality control to ensure reliable experimental support for biolo...
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Magdalena Osial and Agnieszka Pregowska
The development of nanomedicine involves complex nanomaterial research involving magnetic nanomaterials and their use in magnetic hyperthermia. The selection of the optimal treatment strategies is time-consuming, expensive, unpredictable, and not consist...
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László Beinrohr, Eszter Kail, Péter Piros, Erzsébet Tóth, Rita Fleiner and Krasimir Kolev
Data science and machine learning are buzzwords of the early 21st century. Now pervasive through human civilization, how do these concepts translate to use by researchers and clinicians in the life-science and medical field? Here, we describe a software ...
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Arne Defauw, Sara Szoc, Anna Bardadym, Joris Brabers, Frederic Everaert, Roko Mijic, Kim Scholte, Tom Vanallemeersch, Koen Van Winckel and Joachim Van den Bogaert
To build state-of-the-art Neural Machine Translation (NMT) systems, high-quality parallel sentences are needed. Typically, large amounts of data are scraped from multilingual web sites and aligned into datasets for training. Many tools exist for automati...
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