• Ponencia
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      Case study: Bio-inspired self-adaptive strategy for spike-based PID controller 

      Liu, Junxiu; Harkin, Jim; McElholm, Malachy; McDaid, Liam; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2015)
      A key requirement for modern large scale neuromorphic systems is the ability to detect and diagnose faults and to explore ...
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      Clasificación de tumores en cáncer de mama basado en redes neuronales de convolución 

      Durán López, Lourdes; Domínguez Morales, Juan Pedro; Luna Perejón, Francisco; Amaya Rodríguez, Isabel; Civit Masot, Javier; Vicente Díaz, Saturnino; Linares Barranco, Alejandro (3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
      El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ...
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      Climate Change monitoring with Art-Risk 5: New approach for environmental hazard assessment in Seville and Almería Historic Centres (Spain) 

      Moreno Falcón, Mónica; Barea, Rafael; Castro, Luis; Cagigas Muñiz, Daniel; Ortiz, Rocío; Ortiz, Pilar (Elsevier, 2024)
      Currently, climate change is significantly impacting historic cities, altering energy demands, and influencing tourism ...
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      Codiseño hardware/software de un sistema de dosificación basado en lógica difusa 

      Cabrera, A.; Sánchez Solano, Santiago; Senhadji Navarro, Raouf; Barriga Barros, Ángel (Universidad Politécnica de Madrid, 2002)
      En esta comunicación se describe la realización mediante codiseño hardware/software de un sistema de dosificación que ...
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      Compact Calibration Circuit for Large Neuromorphic Arrays 

      Leñero Bardallo, Juan Antonio; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2008)
      Low current applications, like neuromorphic circuits, where operating currents can be as low as few nano amps or less, ...
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      Comparing the efficiency of traffic simulations using cellular automata 

      Díaz del Rio, Fernando; Ragel Díaz Jara, David; Morón Fernández, María José; Cagigas Muñiz, Daniel; Cascado Caballero, Daniel; Guisado Lizar, José Luis; Jiménez Moreno, Gabriel (Springer, 2024)
      The shift toward electric vehicles requires the development of an extensive public electric charging infrastructure. With ...
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      Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs 

      Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-sun (Springer, 2017)
      Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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      Computing the Component-Labeling and the Adjacency Tree of a Binary Digital Image in Near Logarithmic-Time 

      Díaz del Río, Fernando; Molina Abril, Helena; Real Jurado, Pedro (Springer, 2019)
      Connected component labeling (CCL) of binary images is one of the fundamental operations in real time applications. The ...
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      Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld 

      Linares Barranco, Alejandro; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Gutiérrez Galán, Daniel; Ríos Navarro, José Antonio (3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)
      Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, ...
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      Control of Bloat in Genetic Programming by Means of the Island Model 

      Fernández de Vega, Francisco; Galeano Gil, German; Gómez Pulido, Juan Antonio; Guisado Lizar, José Luis (Springer, 2004)
      This paper presents a new proposal for reducing bloat in Genetic Programming. This proposal is based in a well-known ...
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      Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization 

      Yousefzadeh, Amirreza; Hosseini, Sahar; Holanda, Priscila; Leroux, Sam; Werner, Thilo; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé; Dhoedt, Bart; Simoens, Pieter (IEEE Computer Society, 2019)
      Artificial Neural Networks (ANNs) show great performance in several data analysis tasks including visual and ...
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      ConvNets Experiments on SpiNNaker 

      Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé; Galluppi, Francesco; Plana, L.; Furber, S. (IEEE Computer Society, 2015)
      The SpiNNaker Hardware platform allows emulating generic neural network topologies, where each neuronto- neuron connection ...
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      Deep learning as a tool for improving efficiency the of glial tumor diagnosis 

      Amaya Rodríguez, Isabel; Durán López, Lourdes; Civit Masot, Javier; Luna Perejón, Francisco; Civit Balcells, Antón; Vicente Díaz, Saturnino; Linares Barranco, Alejandro (3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
      La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante ...
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      Deep learning glaucoma diagnosis aid 

      Civit Masot, Javier; Amaya Rodríguez, Isabel; Luna Perejón, Francisco; Durán López, Lourdes; Civit Balcells, Antón; Linares Barranco, Alejandro; Vicente Díaz, Saturnino (3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
      El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región ...
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      Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach 

      Domínguez Morales, Juan Pedro; Liu, Qian; James, Robert; Gutiérrez Galán, Daniel; Jiménez Fernández, Ángel Francisco; Davidson, Simón; Furber, Steve B. (IEEE Computer Society, 2018)
      Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations ...
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      Desde CoOs hasta .NetFramework: Comunicación hardware/software mediante VCP 

      Domínguez Morales, Juan Pedro; Vázquez Baeza, Alberto; Cerezuela Escudero, Elena; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Civit Balcells, Antón (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2014)
      En este artículo se describe una práctica de labora torio para la docencia de sistemas operativos en tiempo real (RTOS) ...
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      Design of adaptive nano/CMOS neural architectures 

      Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2012)
      Memristive devices are a promising technology to implement dense learning synapse arrays emulating the high memory ...
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      Design, Implementation and Validation of a Simulation Tool for Networked Virtual Environments 

      Font, Juan Luis; Sevillano Ramos, José Luis; Cascado Caballero, Daniel; López Muñoz, Gema; Regassa, Berhanu (IEE Xplore, 2012-06)
      The popularisation of Networked Virtual Environment (NVE) applications in several context, including social interaction ...
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      Designing a wearable device for step analyzing 

      Pineda Gutiérrez, Joaquín; Miró Amarante, María Lourdes; Hernández Velázquez, María Dolores; Sivianes Castillo, Francisco; Domínguez Morales, Manuel Jesús (IEEE Computer Society, 2019)
      During the locomotion, the foot is a contact surface and a source of interaction with the external environment. Because ...
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      Designing ev charging stations deployment through holistic simulations: the sanevec project 

      Guisado Lizar, José Luis; Jiménez Moreno, Gabriel; Díaz del Río, Fernando; Sevillano Ramos, José Luis; Cagigas Muñiz, Daniel; Morón Fernández, María José; Cascado Caballero, Daniel; Jiménez Morales, Francisco; Cerezuela Escudero, Elena; Montes Sánchez, José Manuel; Casanueva Morato, Daniel; Ayuso Martínez, Álvaro (Institution of Engineering and Technology, 2023)
      To determine the optimal location of the large number of urban public charging stations that will have to be deployed in ...