Browsing by Subject "Aprenentatge profund"
Now showing items 1-20 of 163
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A collaborative statistical actor-critic learning approach for 6G network slicing control
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference lecture
Open AccessArtificial intelligence (AI)-driven zero-touch massive network slicing is envisioned to be a disruptive technology in beyond 5G (B5G)/6G, where tenancy would be extended to the final consumer in the form of advanced digital ... -
A comparison of deep learning methods for urban traffic forecasting using floating car data
(Elsevier, 2020)
Article
Open AccessCities today must address the challenge of sustainable mobility, and traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue ... -
A deep learning approach for segmentation of red blood cell images and malaria detection
(2020-06-13)
Article
Open AccessMalaria is an endemic life-threating disease caused by the unicellular protozoan parasites of the genus Plasmodium. Confirming the presence of parasites early in all malaria cases ensures species-specific antimalarial ... -
A Deep Learning Based Approach to Automated App Testing
(Universitat Politècnica de Catalunya, 2020-09-09)
Master thesis
Open AccessMobile applications are worldwide extended. We use them for everything, from texting friends to managing our money. This boom has led to the emergence of companies dedicated exclusively to the development of mobile ... -
A dual network for super-resolution and semantic segmentation of sentinel-2 imagery
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-12)
Article
Open AccessThere is a growing interest in the development of automated data processing workflows that provide reliable, high spatial resolution land cover maps. However, high-resolution remote sensing images are not always affordable. ... -
A novel deep learning-based diagnosis method applied to power quality disturbances
(2021-05-02)
Article
Open AccessMonitoring electrical power quality has become a priority in the industrial sector background: avoiding unwanted effects that affect the whole performance at industrial facilities is an aim. The lack of commercial equipment ... -
A pipeline for large raw text preprocessing and model training of language models at scale
(Universitat Politècnica de Catalunya, 2021-01-25)
Master thesis
Open Access
Covenantee: Universitat de Barcelona / Universitat Rovira i VirgiliThe advent of Transformer-based (i.e., based on self-attention architectures) language models has revolutionized the entire field of Natural Language Processing (NLP). Once pre-trained on large, unlabelled corpora, we can ... -
A study of Deep Learning techniques for sequence-based problems
(Universitat Politècnica de Catalunya, 2021-10)
Master thesis
Open AccessTransformer Networks are a new type of Deep Learning architecture first introduced in 2017. By only applying attention mechanisms, the transformer network can model relations between text sequences that outperformed other ... -
A survey of deep learning techniques for cybersecurity in mobile networks
(2021-06-07)
Article
Open AccessThe widespread use of mobile devices, as well as the increasing popularity of mobile services has raised serious cybersecurity challenges. In the last years, the number of cyberattacks has grown dramatically, as well as ... -
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
(Institute of Electrical and Electronics Engineers (IEEE), 2021-12-20)
Article
Open AccessConvolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the mammalian visual systems such as invariance ... -
Active learning algorithms for multitopic classification
(Universitat Politècnica de Catalunya, 2021-07-08)
Master thesis
Open AccessIn this master thesis we develop a model that surpasses previous studies to be able to detect cyberbullying and other disorders that are a common behaviour in teenagers. We analyze short sentences in social media with new ... -
An application of explainability methods in reinforcement learning
(Universitat Politècnica de Catalunya, 2020-07-02)
Bachelor thesis
Open AccessLa popularidad de los métodos explicativos está aumentando en el contexto de la Inteligencia Artificial y consiste en dar explicaciones inteligibles a modelos complejos. Recientemente, en el contexto del Aprendizaje Reforzado ... -
An approach to traffic flow prediction with stacked autoencoders
(Universitat Politècnica de Catalunya, 2018-06)
Bachelor thesis
Restricted access - author's decision
Covenantee: Tong ji da xueAmid the flourishing world of machine learning and deep learning, many new ideas and projects can sprout, thanks to the interesting capabilities offered by this set of techniques, all focused on studying patterns in copious ... -
An autoencoder-based Solution for IQ constellation analysis
(Universitat Politècnica de Catalunya, 2021-09-09)
Bachelor thesis
Open AccessThe continuous advances in technology and globalisation of humanity has made the use of communications an essential part of human lives. Nowadays, the advances in this field and the huge amount of data, structured and ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
Analysis of pet behaviour using computer vision
(Universitat Politècnica de Catalunya, 2022-06-29)
Bachelor thesis
Open AccessQue fa la teva mascota quan no ets a casa? Amb tècniques de l'estat de l'art en detecció d'objectes i reconeixement d'objectes, un sistema de vigilància capaç de detectar mascotes és possible de fer. No tan sols això, sinó ... -
Analyzing European Deep-Learning libraries with Industry Standard Benchmark
(Universitat Politècnica de Catalunya, 2020-10-28)
Master thesis
Open Access
Covenantee: Barcelona Supercomputing CenterFor the past decade, machine learning (ML) has revolutionized numerous domains in our daily life. Nowadays, deep learning (DL) algorithms are the central focus of modern ML systems. As a result, we are witnessing an ... -
Anomaly detection in electromechanical systems by means of deep-autoencoder
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessAnomaly detection in manufacturing processes is one of the main concerns in the new era of the Industry 4.0 framework. The detection of uncharacterized events represents a major challenge within the operation monitoring ... -
Anti-spoofing mechanisms in face recognition
(Universitat Politècnica de Catalunya, 2020-09-02)
Master thesis
Restricted access - author's decision
Covenantee: Slovenská technická univerzita v BratislaveThe objective of this work is to design and implement a pupil detection solution to be used as part of an anti-spoofing mechanism in face recognition. This is intended to improve the security and reliability of face ... -
Application of deep learning upscaling technologies in cloud gaming solutions
(Universitat Politècnica de Catalunya, 2022-06-30)
Bachelor thesis
Open AccessDurant tota la seva història, la indústria dels videojocs ha vist com any rere any els requeriments hardware de les entregues més populars del mercat augmentaven amb cada nova sortida. Això, juntament amb l'encariment dels ...
