Exploració per tema "Machine learning"
Ara es mostren els items 21-40 de 1797
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A damage classification approach for structural health monitoring using machine learning
(2018-12-02)
Article
Accés obertInspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables ... -
A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients
(2014-09-01)
Article
Accés restringit per política de l'editorialCognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress ... -
A data-driven computational methodology towards a pre-hospital Acute Ischaemic Stroke screening tool using haemodynamics waveforms
(Elsevier, 2024-02-01)
Article
Accés obert -
A data-driven wall-shear stress model for LES using gradient boosted decision trees
(Springer Nature, 2021)
Text en actes de congrés
Accés obertWith the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ... -
A dataset of microscopic peripheral blood cell images for development of automatic recognition systems
(Elsevier, 2020-06)
Article
Accés obertThis article makes available a dataset that was used for the development of an automatic recognition system of peripheral blood cell images using convolutional neural networks [1]. The dataset contains a total of 17,092 ... -
A decision making support tool: The resilience management fuzzy controller
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertIn this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ... -
A deep learning approach to downscale geostationary satellite imagery for decision support in high impact wildfires
(2021-03-03)
Article
Accés obertScarcity in wildland fire progression data as well as considerable uncertainties in forecasts demand improved methods to monitor fire spread in real time. However, there exists at present no scalable solution to acquire ... -
A deep learning approach to portfolio optimization
(Universitat Politècnica de Catalunya, 2022-02)
Treball Final de Grau
Accés obert
Realitzat a/amb: Hong Kong University of Science and TechnologyDes del desenvolupament de la teoria moderna de carteres de Markowitz l'any 1952, s'han dut a terme numerosos avenços per a millorar-ne les tècniques originals, fins al punt que la recerca actual en aquest àmbit es centra ... -
A Deep learning method for optimal stopping problems
(Universitat Politècnica de Catalunya, 2023-07)
Treball Final de Grau
Accés obertL’objectiu principal d’aquest treball és complementar els fonaments teòrics i implementar el model de Deep Learning presentat a l’article anomenat “Deep Optimal Stopping”, de Becker et al, publicat al Journal of Machine ... -
A deep reinforcement learning approach for path following on a quadrotor
(2020)
Text en actes de congrés
Accés obertThis paper proposes the Deep Deterministic Policy Grandient (DDPG) reinforcement learning algorithm to solve the path following problem in a quadrotor vehicle. This agent is implemented using a separated control and guidance ... -
A Docker-based federated learning framework design and deployment for multi-modal data stream classification
(2023-05-11)
Article
Accés restringit per política de l'editorialIn the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ... -
A federated learning method for real-time emotion state classification from multi-modal streaming
(Elsevier, 2022-08)
Article
Accés obertEmotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ... -
A framework to understand attitudes towards immigration through Twitter
(MDPI, 2021)
Article
Accés obertUnderstanding public opinion towards immigrants is key to prevent acts of violence, discrimination and abuse. Traditional data sources, such as surveys, provide rich insights into the formation of such attitudes; yet, they ... -
A fuzzy rule model for high level musical features on automated composition systems
(Springer, 2017)
Capítol de llibre
Accés obertAlgorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ... -
A general guide to applying machine learning to computer architecture
(2018)
Article
Accés obertThe resurgence of machine learning since the late 1990s has been enabled by significant advances in computing performance and the growth of big data. The ability of these algorithms to detect complex patterns in data which ... -
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 genetic attack against machine learning classifiers to steal biometric actigraphy profiles from health related sensor data
(Springer, 2020)
Article
Accés obertIn this work, we propose the use of a genetic-algorithm-based attack against machine learning classifiers with the aim of ‘stealing’ users’ biometric actigraphy profiles from health related sensor data. The target ... -
A greenability evaluation sheet for AI-based systems
(Universitat Politècnica de Catalunya, 2023-06-26)
Treball Final de Grau
Accés obertEl auge de los sistemas de machine learning (ML), la mejora de sus capacidades y el mayor tamaño de los sistemas, ha incrementado el impacto medioambiental de los modelos ML. Sin embargo, la información sobre cómo se mide, ... -
A hierarchical framework for collaborative artificial intelligence
(2023-01)
Article
Accés obertWe propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each ... -
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL
(Elsevier, 2020-03-01)
Article
Accés obertConditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ...
