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25 p, 6.4 MB |
Intelligent Control of Wastewater Treatment Plants Based on Model-Free Deep Reinforcement Learning
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Aponte-Rengifo, Oscar (Universidad de Salamanca. Departamento de Informática y Automática) ;
Francisco, Mario (Universidad de Salamanca. Departamento de Informática y Automática) ;
Vilanova i Arbós, Ramon (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Vega, Pastora (Universidad de Salamanca. Departamento de Informática y Automática) ;
Revollar, Silvana (Universidad de Salamanca. Departamento de Informática y Automática)
In this work, deep reinforcement learning methodology takes advantage of transfer learning methodology to achieve a reasonable trade-off between environmental impact and operating costs in the activated sludge process of Wastewater treatment plants (WWTPs). [...]
2023 -  10.3390/pr11082269
Processes, Vol. 11, Issue 8 (August 2023) , art. 2269
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17 p, 4.1 MB |
Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
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Herrera, Erika M. (Universitat Oberta de Catalunya. Departament d'Informàtica) ;
Calvet Liñan, Laura (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Ghorbani, Elnaz (Universitat Oberta de Catalunya. Departament d'Informàtica) ;
Panadero, Javier (Universitat Politècnica de Catalunya. Departament de Gestió) ;
Juan, Ángel A (Euncet Business School. Departament de Gestió)
Carsharing practices are spreading across many cities in the world. This paper analyzes real-life data obtained from a private carsharing company operating in the city of Barcelona, Spain. After describing the main trends in the data, machine learning and time-series analysis methods are employed to better understand citizens' needs and behavior, as well as to make predictions about the evolution of their demand for this service. [...]
2023 - 10.3390/computers12020033
Computers, Vol. 12, Issue 2 (February 2023) , art. 33
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9 p, 3.9 MB |
AutoScanJ : A Suite of ImageJ Scripts for Intelligent Microscopy
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Tosi, Sébastien (Institute for Research in Biomedicine) ;
Lladó, Anna (Institute for Research in Biomedicine) ;
Bardia, Lídia (Institute for Research in Biomedicine) ;
Rebollo, Elena (Institut de Biologia Molecular de Barcelona) ;
Godo Pla, Anna (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia) ;
Stockinger, Petra (Centre de Regulació Genòmica) ;
Colombelli, Julien (Institute for Research in Biomedicine)
We developed AutoscanJ, a suite of ImageJ scripts enabling to image targets of interest by automatically driving a motorized microscope at the corresponding locations. For live samples, our software can sequentially detect biological events from their onset and further image them at high resolution, an action that would be impractical by user operation. [...]
2021 - 10.3389/fbinf.2021.627626
Frontiers in Bioinformatics, Vol. 1 (March 2021) , art. 627626
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22 p, 9.0 MB |
A variational autoencoder solution for road traffic forecasting systems : missing data imputation, dimension reduction, model selection and anomaly detection
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Boquet, Guillem (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Morell Pérez, Antoni (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Serrano García, Javier 1964- (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
López Vicario, José (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Efforts devoted to mitigate the effects of road traffic congestion have been conducted since 1970s. Nowadays, there is a need for prominent solutions capable of mining information from messy and multidimensional road traffic data sets with few modeling constraints. [...]
2020 - 10.1016/j.trc.2020.102622
Transportation Research Part C: Emerging Technologies, Vol. 115 (June 2020) , art. 102622
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12 p, 3.9 MB |
Weather Classification by Utilizing Synthetic Data
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Minhas, Saad (University of Essex. School of Computer Science and Electrical Engineering) ;
Khanam, Zeba (University of Essex. School of Computer Science and Electrical Engineering) ;
Ehsan, Shoaib (University of Essex. School of Computer Science and Electrical Engineering) ;
McDonald-Maier, Klaus (University of Essex. School of Computer Science and Electrical Engineering) ;
Hernandez-Sabaté, Aura (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing locations with the weather those images are representing. [...]
2022 - 10.3390/s22093193
Sensors (Basel, Switzerland), Vol. 22, Issue 9 (April 2022) , art. 3193
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31 p, 14.3 MB |
Intelligent control of wind-assisted PHEVs smart charging station
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Zulqadar Hassan, Syed (National Univeristy of Computer and Emerging Sciences. Department of Electrical Engineering) ;
Kamal, Tariq (Sakarya University. Department of Electrical and Electronics Engineering) ;
Hussnain Riaz, Muhammad (Lahore University of Management Sciences . Department of Electrical Engineering) ;
Syed Aamir Hussai, Shah (Ministry of Planning. Development and Reform) ;
Gohar Ali, Hina (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Riaz Tanveer, Muhammad (University of Faisalabad. School of Electrical Engineering) ;
Sarmad, Muhammad (University of Engineering and Technology Lahore. Department of Electrical Engineering) ;
Zahoor, Amir (National Univeristy of Computer and Emerging Sciences. Department of Electrical Engineering.) ;
Abbas Khan, Muhammad (Balochistan University of Information Technology Engineering and Management Sciences) ;
Pascual Miqueleiz, Julio (Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación)
Two technology opportunities, integration of renewable energy sources and the electrification of vehicles are being encouraged to reduce dependency on fossil fuels and pollution problems. Nevertheless, the huge increase of plug-in hybrid electric vehicles (PHEVs) on roads will cause an additional load in demand, especially at rush hours, and therefore, threatens the stability of existing power grids. [...]
2019 - 10.3390/en12050909
Energies, Vol. 12, Issue 5 (March 2019) , art. 909
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9.
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16 p, 2.5 MB |
Slanted Stixels : A Way to Represent Steep Streets
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Hernández Juárez, Daniel (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ;
Schneider, Lukas (Daimler AG R&D) ;
Cebrian, Pau (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ;
Espinosa, Antonio (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ;
Vázquez Bermúdez, David (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ;
López, Antonio (Centre de Visió per Computador (Bellaterra, Catalunya)) ;
Franke, Uwe (Daimler AG R&D) ;
Pollefeys, Marc (ETH Zürich) ;
Moure, Juan C (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
This work presents and evaluates a novel compact scene representation based on Stixels that infers geometric and semantic information. Our approach overcomes the previous rather restrictive geometric assumptions for Stixels by introducing a novel depth model to account for non-flat roads and slanted objects. [...]
2019 - 10.1007/s11263-019-01226-9
International Journal of Computer Vision, Vol. 127, Issue 11-12 (December 2019) , p. 1643-1658
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20 p, 2.2 MB |
Nanophononics : State of the art and perspectives
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Volz, Sebastian (Laboratoire d'Energétique Moléculaire et Macroscopique) ;
Ordóñez Miranda, José (Laboratoire d'Energétique Moléculaire et Macroscopique) ;
Shchepetov, Andrey (VTT Technical Research Centre of Finland) ;
Prunnila, Mika (VTT Technical Research Centre of Finland) ;
Ahopelto, Jouni (VTT Technical Research Centre of Finland) ;
Pezeril, Thomas (Université du Maine) ;
Vaudel, Gwenaelle (Université du Maine) ;
Gusev, Vitaly (Université du Maine) ;
Ruello, Pascal (Université du Maine) ;
Weig, Eva M. (University of Konstanz. Department of Physics) ;
Schubert, Martin (University of Konstanz. Department of Physics) ;
Hettich, Mike (University of Konstanz. Department of Physics) ;
Grossman, Martin (University of Konstanz. Department of Physics) ;
Dekorsy, Thomas (University of Konstanz. Department of Physics) ;
Alzina, Francesc (Institut Català de Nanociència i Nanotecnologia) ;
Graczykowski, Bartlomiej (Institut Català de Nanociència i Nanotecnologia) ;
Chávez Ángel, Emigdio (Institut Català de Nanociència i Nanotecnologia) ;
Reparaz, Juan Sebastian (Institut Català de Nanociència i Nanotecnologia) ;
Wagner, Markus R.. (Institut Català de Nanociència i Nanotecnologia) ;
Sotomayor Torres, Clivia M. (Institut Català de Nanociència i Nanotecnologia) ;
Xiong, Shiyun (Max Planck Institute for Polymer Research) ;
Neogi, Sanghamitra (University of Colorado Boulder) ;
Donadio, Davide (Donostia International Physics Center)
Understanding and controlling vibrations in condensed matter is emerging as an essential necessity both at fundamental level and for the development of a broad variety of technological applications. Intelligent design of the band structure and transport properties of phonons at the nanoscale and of their interactions with electrons and photons impact the efficiency of nanoelectronic systems and thermoelectric materials, permit the exploration of quantum phenomena with micro- and nanoscale resonators, and provide new tools for spectroscopy and imaging. [...]
2016 - 10.1140/epjb/e2015-60727-7
The European Physical Journal. B, Condensed Matter and Complex Systems, Vol. 89, Issue 1 (January 2016) , art. 15
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