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Mohammed Zia, Johannes Fürle, Christina Ludwig, Sven Lautenbach, Stefan Gumbrich and Alexander Zipf
Traffic prediction is a topic of increasing importance for research and applications in the domain of routing and navigation. Unfortunately, open data are rarely available for this purpose. To overcome this, the authors explored the possibility of using ...
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Piotr A. Werner, Malgorzata Kesik-Brodacka, Karolina Nowak, Robert Olszewski, Mariusz Kaleta and David T. Liebers
This article describes an original methodology for integrating global SIR-like epidemic models with spatial interaction models, which enables the forecasting of COVID-19 dynamics in Poland through time and space. Mobility level, estimated by the regional...
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Joao da Mata Liborio, Cesar Melo and Marcos Silva
In recent years, image and video super-resolution have gained attention outside the computer vision community due to the outstanding results produced by applying deep-learning models to solve the super-resolution problem. These models have been used to i...
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Mohammad Gheibi, Mohammad Eftekhari, Mehran Akrami, Nima Emrani, Mostafa Hajiaghaei-Keshteli, Amir M. Fathollahi-Fard and Maziar Yazdani
Maintaining drinking water quality is considered important in building sustainable cities and societies. On the other hand, water insecurity is an obstacle to achieving sustainable development goals based on the issues of threatening human health and wel...
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Jorge Sanchez Lozano, Giovanni Romero Bustamante, Riley Chad Hales, E. James Nelson, Gustavious P. Williams, Daniel P. Ames and Norman L. Jones
We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS), perfo...
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