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José Luis da Silva Pinho,António Pereira,Rolando Faria
Pág. 69 - 82
Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Esses desenvolvimentos resultaram da disponibilidade de informações meteorológicas em ...
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Hyunmin Gwak, Yongho Jeong, Chanyeong Kim, Yonghak Lee, Seongmin Yang and Sunghwan Kim
The key to semi-supervised semantic segmentation is to assign the appropriate pseudo-label to the pixels of unlabeled images. Recently, various approaches to consistency-based training and the filtering of reliable pseudo-labels have shown remarkable res...
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Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
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Stefania A. Ciliberti, Marilaure Grégoire, Joanna Staneva, Atanas Palazov, Giovanni Coppini, Rita Lecci, Elisaveta Peneva, Marius Matreata, Veselka Marinova, Simona Masina, Nadia Pinardi, Eric Jansen, Leonardo Lima, Ali Aydogdu, Sergio Creti?, Laura Stefanizzi, Diana Azevedo, Salvatore Causio, Luc Vandenbulcke, Arthur Capet, Catherine Meulders, Evgeny Ivanov, Arno Behrens, Marcel Ricker, Gerhard Gayer, Francesco Palermo, Mehmet Ilicak, Murat Gunduz, Nadezhda Valcheva and Paola AgostiniaddShow full author listremoveHide full author list
The Black Sea Monitoring and Forecasting Center (BS-MFC) is the European reference service for the provision of ocean analyses, forecasts, and reanalyses in the Black Sea basin. It is part of the Copernicus Marine Environment and Monitoring Service (CMEM...
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Liujia Chen, Xiaojing Yao, Yalan Liu, Yujiao Zhu, Wei Chen, Xizhi Zhao and Tianhe Chi
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited b...
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Ke Ren, Dezhan Qu, Shaobin Xu, Xufeng Jiao, Liang Tai and Huijie Zhang
Uncertainty analysis of a time-varying ensemble vector field is a challenging topic in geoscience. Due to the complex data structure, the uncertainty of a time-varying ensemble vector field is hard to quantify and analyze. Measuring the differences betwe...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
In recent years, a forward-looking subfield of machine learning has emerged with important applications in a variety of scientific fields. Semi-supervised learning is increasingly being recognized as a burgeoning area embracing a plethora of efficient me...
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Jinping Liu, Wanchang Zhang, Tie Liu and Qilun Li
Long-term hydro-climatic datasets and sophisticated change detection methods are essential for estimating hydro-climatic trends at regional and global scales. Here, we use the ensemble empirical mode decomposition method (EEMD) to investigate runoff osci...
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Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski and Ingrid Hotz
We present a visualization system for analyzing stochastic particle trajectory ensembles, resulting from Kinetic Monte-Carlo simulations on charge transport in organic solar cells. The system supports the analysis of such trajectories in relation to comp...
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Di Jin, Aristotelis Leventidis, Haoming Shen, Ruowang Zhang, Junyue Wu and Danai Koutra
Graphs emerge naturally in many domains, such as social science, neuroscience, transportation engineering, and more. In many cases, such graphs have millions or billions of nodes and edges, and their sizes increase daily at a fast pace. How can researche...
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