Exploració per tema "Machine learning"
Ara es mostren els items 41-60 de 1796
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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 human-in-the-loop approach based on explainability to improve NTL detection
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertImplementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used are black-boxes that cannot be either ... -
A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning
(Elsevier, 2016-12-06)
Article
Accés restringit per política de l'editorialCancer is a collection of diseases that involves growing abnormal cells with the potential to invade or spread tothe body. Breast cancer is the second leading cause of cancer death among women. A method for 5-year breastcancer ... -
A Learning Approach to Solving Automatic Control Problems
(Universitat Politècnica de Catalunya, 2022-10-18)
Treball Final de Grau
Accés restringit per decisió de l'autorEls problemes de control automàtic poden ser extremadament difícils de resoldre per a qualsevol algoritme no adaptatiu. El control automàtic implica l'avaluació en temps real de les respostes d'un sistema que es retroalimenta ... -
A learning system for adjustment processes based on human sensory perceptions
(2018-12-01)
Article
Accés obertCreating, designing and adjusting products are essential decision processes underlying creative industries, such as painting, perfume, food and beverage industries. These processes require the participation and continuous ... -
A lightweight perception module for planning purposes
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Comunicació de congrés
Accés obertSensing is an essential component for robots to perform the manipulation tasks in real environments. This study proposes a lightweight deep-learning-based sensing modules which allows the robots to automatically model the ... -
A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
(2022-09-09)
Article
Accés obertThe simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ... -
A lower bound for learning distributions generated by probabilistic automata
(Springer, 2010)
Text en actes de congrés
Accés obertKnown algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ... -
A machine learning approach for layout inference in spreadsheets
(SciTePress, 2016)
Text en actes de congrés
Accés obertSpreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ... -
A machine learning approach for optimal positioning of piezoelectric sensors for an Unmanned Air Vehicle -UAV-
(Universitat Politècnica de Catalunya, 2023-10-17)
Projecte Final de Màster Oficial
Accés obertThe field of Structural Health Monitoring (SHM) is in continuous development. Its applications are many, spacing from bridges to wind turbine all the way through air vehicles and drones. The focus of this project will be ... -
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 approach to enable bulk orders of critical spare-parts in the shipping industry
(OmniaScience, 2021)
Article
Accés obertPurpose: The main purpose of this paper is to propose a methodological approach and a decision support tool, based on prescriptive analytics, to enable bulk ordering of spare parts for shipping companies operating fleets ... -
A machine learning approach to predicting a basketball game outcome
(Universitat Politècnica de Catalunya, 2019-10-25)
Treball Final de Grau
Accés restringit per decisió de l'autor
Realitzat a/amb: Sveučilište u Zagrebu -
A machine learning approach to stock screening with fundamental analysis
(Universitat Politècnica de Catalunya, 2019-04-15)
Projecte Final de Màster Oficial
Accés obertWe present HPC.FASSR, a High-Performance Computation Fundamental Analysis Stock Screener and Ranker to compare many ML models and the criteria of famous Benjamin Graham for stock investing using fundamental data. FASSR is ... -
A machine learning approach to the identification of encrypted web traffic
(Universitat Politècnica de Catalunya, 2017-06-29)
Treball Final de Grau
Accés restringit per acord de confidencialitat -
A machine learning approach to the optimal estimation of portfolio weights
(Universitat Politècnica de Catalunya, 2022-07)
Treball Final de Grau
Accés obert
Realitzat a/amb: École polytechnique fédérale de LausanneThe purpose of this thesis is to review and expand the main result in the paper by Daniel Kinn, "Reducing Estimation Risk in Mean-Variance Portfolios with Machine Learning (preprint arXiv:1804.01764 (2018)). This result ... -
A machine learning based Distributed Congestion Control Protocol for multi-hop wireless networks
(2023-07-01)
Article
Accés obertThe application areas of multi-hop wireless networks are expected to experience sustained growth in the next years. This growth will be further supported by the current possibility of providing low-cost communication ... -
A machine learning based material homogenization technique for masonry structures
(Universitat Politècnica de Catalunya, 2021-11-03)
Tesi
Accés obertCutting-edge methods in the computational analysis of structures have been developed over the last decades. Such modern tools are helpful to assess the safety of existing buildings. Two main finite element (FE) modeling ... -
A machine learning enabled network planning tool
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Text en actes de congrés
Accés restringit per política de l'editorialIn the coming years, planning future mobile networks will be infinitely more complex than nowadays. Future networks are expected to present multiple Network Management (NM) challenges to operators, such as managing network ... -
A machine learning methodology for structural damage classification in structural health monitoring
(2017)
Text en actes de congrés
Accés restringit per política de l'editorialOne of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ...
