Exploració per tema "Neural networks (Computer science)"
Ara es mostren els items 21-40 de 984
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A framework for artificial data generation based on anatomical differences for electroencephalography-based brain-computer interfaces
(Universitat Politècnica de Catalunya, 2019-07-01)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Technische Universität BerlinOne of the major limitations of brain-computer interfaces (BCI) is the need for a long and tedious calibration period in order for a subject to become proficient with the system. A principal challenge in training a BCI ... -
A fully analog CMOS implementation of a two-variable spiking neuron in the subthreshold region and its network operation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés restringit per política de l'editorialEdge computing requires the processing of real-time and personalized information with low power consumption. Neuromorphic devices are promising candidates for applications related to edge computing. Rate neurons, which are ... -
A GAN-based approach for generating mobility networks
(Universitat Politècnica de Catalunya, 2021-06-28)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autor -
A Generative Dialogue System for Reminiscence Therapy
(Universitat Politècnica de Catalunya, 2019-09)
Projecte Final de Màster Oficial
Accés obertWith people living longer than ever, the number of cases with neurodegenerative diseases such as Alzheimer's or cognitive impairment increases steadily. In Spain it affects more than 1.2 million patients and it is estimated ... -
A Human Shape-Motion Predictor with Deep Learning
(Universitat Politècnica de Catalunya, 2019-04-24)
Projecte Final de Màster Oficial
Accés obertThe objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and ... -
A large-scale spiking neural networks emulation architecture
(Universitat Politècnica de Catalunya, 2014-09-09)
Projecte Final de Màster Oficial
Accés obertThe purpose of this work is to design a new version (called SNAVA+) of the architecture SNAVA, an SNN hardware emulator implemented on a XilinX Kintex-7 FPGA. SNAVA+ increases the capabilities of SNAVA in order to have a ... -
A machine learning approach to calculate the dropout risk factor in a children's programming school
(Universitat Politècnica de Catalunya, 2019-01-29)
Treball Final de Grau
Accés restringit per acord de confidencialitat -
A machine learning based recommendation system for furniture selection
(Universitat Politècnica de Catalunya, 2022-07-04)
Treball Final de Grau
Accés obertArtificial Intelligence (AI) is one of today's fastest growing technologies, and has been evolving for decades. It allows machines to have the ability to "learn", and self-correct. This technology is used in many fields, ... -
A methodology for selective protection of matrix multiplications: A diagnostic coverage and performance trade-off for CNNs executed on GPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertThe ability of CNNs to efficiently and accurately perform complex functions, such as object detection, has fostered their adoption in safety-related autonomous systems. These algorithms require high computational performance ... -
A multilayer extension of the similarity neural network
(Universitat Politècnica de Catalunya, 2014-11-24)
Projecte Final de Màster Oficial
Accés obertAquest projecte ajunta idees de les radial basis functions, i el multilayer perceptron per a desenvolupar una altra arquitectura de xarxa neuronal artificial i un mètode per a poder-la entrenar. És una extensió de la ... -
A multivariate neural network approach to tourism demand forecasting
(2013-12-04)
Report de recerca
Accés obertThis study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a multiple-output framework. We test the forecasting accuracy of three different types of architectures: ... -
A neural approach to language variety translation
(Association for Computational Linguistics, 2018)
Comunicació de congrés
Accés restringit per política de l'editorialIn this paper we present the first neural-based machine translation system trained to translate between standard national varieties of the same language. We take the pair Brazilian - European Portuguese as an example and ... -
A neural network approach to predict the ionospheric scintillation Wbmod model variables
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Comunicació de congrés
Accés obertThe ionospheric scintillation can be explained as the fluctuations in the phase and intensity of electromagnetic rays after crossing the ionosphere. Rino’s theory was proposed in 1979 to quantify this scintillation, and ... -
A neural network-based robust unknown input observer design: Application to wind turbine
(International Federation of Automatic Control (IFAC), 2015)
Text en actes de congrés
Accés restringit per política de l'editorialThe paper deals with the problem of robust unknown input observer design for the neural-network based models of non-linear discrete-time systems. Authors review the recent development in the area of robust observers for ... -
A new forecasting approach for the hospitality industry
(2015-10-01)
Article
Accés obertPurpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations ... -
A novel approach for dynamic capacity sharing in multi-tenant scenarios
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Comunicació de congrés
Accés obertNetwork slicing is included as a key feature of the 5G architecture in order to simultaneously support diverse service types with heterogeneous requirements. The realization of network slicing in the Radio Access Network ... -
A novel condition monitoring methodology based on neural network of pump-turbines with extended operating range
(2019)
Text en actes de congrés
Accés obertDue to the entrance of new renewable energies, water-storage energy has to be regulated more frequently to keep the stability of power grid. Consequently, pump-turbines have to work under offdesign conditions more than ... -
A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks
(2012)
Text en actes de congrés
Accés restringit per política de l'editorialMostly the faults in electrical machines are related with the bearings. Thus, a reliable bearing condition monitoring scheme able to detect either local or distributed defects are mandatory to avoid a breakdown in the ... -
A novel methodology to predict regulations using deep learning
(Single European Sky ATM Research (SESAR), 2020)
Text en actes de congrés
Accés obertThe current air traffic control system tries to allocate as many flights as possible in a scenario that is expected to be time-efficient, cost-efficient, and safe. To guaranty these safety conditions, it is performed a ...
