• closedAccess   3D visualization of sea 

      Ramos, Jose Francisco; Puig Centelles, Anna; Chover, Miguel; Ripollés Mateu, Oscar Enrique Springer-Verlag (2010-11)
    • openAccess   A comparative study in the standardisation of IoT devices using geospatial web standards 

      Marsh-Hunn, Daniel; Trilles, Sergio; González-Pérez, Alberto; Torres-Sospedra, Joaquín; Ramos, Jose Francisco Institute of Electrical and Electronics Engineers (2020-10-15)
      Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its ...
    • openAccess   A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors 

      Ramos, Jose Francisco; Monfort Muriach, Aida; Huerta, Joaquin Wiley (2014-06)
      Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and ...
    • closedAccess   A Multiresolution Approach to Render 3D Models 

      Ramos, Jose Francisco; Chover, Miguel; Ripollés Mateu, Oscar Enrique IOS Press (2013)
      Image synthesis techniques are present in a wide range of applications as they leverage the amount of information required for creating realistic visualizations. For fast hardware rendering they usually employ a triangle-based ...
    • openAccess   Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio MDPI (2020-04-01)
      The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields. This paper covers the revision of the studies ...
    • openAccess   Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio PLoS (2022-06-01)
      Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also ...
    • openAccess   Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio World Scientific (2022-06-22)
      Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution ...
    • closedAccess   Continuous Level of Detail for Large Scale Rendering of 3D Animated Polygonal Models 

      Ramos, Jose Francisco; Ripollés Mateu, Oscar Enrique; Chover, Miguel Springer Berlin Heidelberg (2012)
      Current simulation applications are mainly focused on the efficient management of scenarios with static objects. However, managing dynamic objects, such as animated characters, is very different and requires more specific ...
    • openAccess   Design of a multiuser virtual trade fair using a game engine 

      Remolar, Inmaculada; Chover, Miguel; Quirós Bauset, Ricardo; Gumbau Portalés, Jesús; Castelló Boscá, Pascual; Rebollo Santamaría, Cristina; Ramos, Jose Francisco Springer (2011)
      The current world economic situation makes it necessary to develop new ways of establishing commercial relationships. One possible solution is to explore the advantages of virtual worlds, and for this reason online virtual ...
    • closedAccess   Efficient visualization of 3D models on hardware-limited portable devices 

      Ramos, Jose Francisco; Ripollés Mateu, Oscar Enrique; Chover, Miguel Springer (2014)
      Managing the geometry of a 3D scene efficiently is a key aspect of an interactive 3D application. This aspect is more important if we target at portable devices, which have limited hardware capabilities. Developing new ...
    • openAccess   Features Exploration from Datasets Vision in Air Quality Prediction Domain 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio MDPI (2021-02-28)
      Air pollution and its consequences are negatively impacting on the world population and the environment, which converts the monitoring and forecasting air quality techniques as essential tools to combat this problem. To ...
    • openAccess   Level-of-Detail Triangle Strips for Deforming Meshes 

      Ramos, Jose Francisco; Chover, Miguel; Parus, Jindra; Kolingerova, Ivana Springer Verlag (2008)
      Applications such as video games or movies often contain deforming meshes. The most-commonly used representation of these types of meshes consists in dense polygonal models. Such a large amount of geometry can be efficiently ...
    • openAccess   New Trends in Using Augmented Reality Apps for Smart City Contexts 

      Ramos, Jose Francisco; Trilles, Sergio; Torres-Sospedra, Joaquín; Perales, Francisco J. MDPI (2018-12)
      The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing ...
    • openAccess   Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks 

      Ramos, Jose Francisco; Trilles, Sergio; Muñoz, Andrés; Huerta, Joaquin MDPI (2018)
      Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take ...
    • openAccess   Real-time tessellation of terrain on graphics hardware 

      Puig Centelles, Anna; Ripollés Mateu, Oscar Enrique; Ramos, Jose Francisco; Chover, Miguel Elsevier (2012-04)
      Synthetic terrain is a key element in many applications, which can lessen the sense of realism if it is not handled correctly. We propose a new technique for visualizing terrain surfaces by tessellating them on the GPU. ...
    • openAccess   Reconstructing Secondary Data based on Air Quality, Meteorological and Traffic Data Considering Spatiotemporal Components 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio Elsevier (2023-02-08)
      This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement ...
    • openAccess   Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler 

      Trilles, Sergio; Vicente, Ana Belen; Juan, Pablo; Ramos, Jose Francisco; Meseguer Costa, Sergio; Serra, Laura MDPI (2019)
      A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of ...
    • closedAccess   Rendering continuous level-of-detail meshes by Masking Strips 

      Ripollés Mateu, Oscar Enrique; Chover, Miguel; Gumbau Portalés, Jesús; Ramos, Jose Francisco; Puig Centelles, Anna Elsevier (2009)
      In this paper we present a new continuous multiresolution approach which has been developed for the interactive visualization of meshes in real-time applications. Our interest is to offer an efficient solution which considers ...
    • closedAccess   Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures 

      Antonelli, Marco; Igual, Francisco D.; Ramos, Jose Francisco; Traver Roig, Vicente Javier Springer-Verlag (2012)
      Log-polar imaging is a kind of foveal, biologically inspired visual representation with advantageous properties in practical applications in computer vision, robotics, and other fields. While the cheapest, most flexible, ...
    • openAccess   The Effect of Weather in Soccer Results: An Approach Using Machine Learning Techniques 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Palinggi, Denny Asarias; Trilles, Sergio MDPI (2020-09-26)
      The growing popularity of soccer has led to the prediction of match results becoming of interest to the research community. The aim of this research is to detect the effects of weather on the result of matches by implementing ...