Browsing by Author "Ríos Navarro, José Antonio"
Now showing items 1-20 of 52
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Presentation
A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging
(IEEE Computer Society, 2016)Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or ...
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Article
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
(MDPI, 2021)The change from face-to-face work to teleworking caused by the pandemic has induced multiple workers to spend more time ...
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Presentation
A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring
(ScitePress Digital Library, 2019)Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for ...
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Presentation
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
(Springer, 2016)The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems ...
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Presentation
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
(Springer, 2017)Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different ...
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Article
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
(MDPI, 2018)Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural ...
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Presentation
Aprendizaje basado en proyectos en el ámbito de la Ingeniería de la Salud: desarrollo de sistemas para la rehabilitación y la ayuda a la discapacidad
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)El reciente Grado en Ingeniería de la Salud se originó con el planteamiento de cubrir la carencia de conoci miento sobre ...
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Presentation
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
(Springer, 2017)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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Article
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
(Cornell University, 2016)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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Presentation
Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld
(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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Article
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
(Cornell University, 2019)Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural ...
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Presentation
ED-Scorbot: A Robotic test-bed Framework for FPGA-based Neuromorphic systems
(IEEE Computer Society, 2016)Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and brain understanding applied ...
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Presentation
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
(IEEE Xplore, 2020-09)This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called Edge-DRNN designed ...
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Article
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
(IEEE Xplore, 2020-12)Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for ...
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Presentation
Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo
(ACM Digital Library, 2019)This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera ...
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Article
Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
(MDPI, 2021-01)The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ...
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Article
Embedded neural network for real-time animal behavior classification
(Elsevier, 2018)Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ...
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PhD Thesis
Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución
(2017-07-19)En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep ...