Browsing by Subject "Machine learning"
Now showing items 41-60 of 1528
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A lightweight perception module for planning purposes
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessSensing 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
Open AccessThe 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)
Conference report
Open AccessKnown 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)
Conference report
Open AccessSpreadsheet 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 to calculate the dropout risk factor in a children's programming school
(Universitat Politècnica de Catalunya, 2019-01-29)
Bachelor thesis
Restricted access - confidentiality agreement -
A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry
(OmniaScience, 2021)
Article
Open AccessPurpose: 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)
Bachelor thesis
Restricted access - author's decision
Covenantee: Sveučilište u Zagrebu -
A machine learning approach to stock screening with fundamental analysis
(Universitat Politècnica de Catalunya, 2019-04-15)
Master thesis
Open AccessWe 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)
Bachelor thesis
Restricted access - confidentiality agreement -
A machine learning approach to the optimal estimation of portfolio weights
(Universitat Politècnica de Catalunya, 2022-07)
Bachelor thesis
Open Access
Covenantee: 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 material homogenization technique for masonry structures
(Universitat Politècnica de Catalunya, 2021-11-03)
Doctoral thesis
Open AccessCutting-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)
Conference report
Restricted access - publisher's policyIn 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)
Conference report
Restricted access - publisher's policyOne 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 ... -
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
(I6doc.com, 2016)
Conference report
Open AccessMachine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ... -
A machine learning pose transfer system
(Universitat Politècnica de Catalunya, 2022-07-04)
Bachelor thesis
Open AccessIn recent years, the introduction of Machine Learning together with the use of conventional image processing techniques has given a boost to the generation of images. However, as these models are getting better their ... -
A machine learning research template for binary classification problems and shapley values integration
(Elsevier, 2021-05)
Article
Open AccessThis paper documents published code which can help facilitate researchers with binary classification problems and interpret the results from a number of Machine Learning models. The original paper was published in Expert ... -
A machine learning workflow for hurricane prediction
(Barcelona Supercomputing Center, 2018-04-24)
Conference report
Open Access -
A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty
(Elsevier, 2021-12-01)
Article
Open AccessChemical process operation optimization aims at obtaining the optimal operating set-points by real-time solution of an optimization problem that embeds a steady-state model of the process. This task is challenged by ... -
A machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failure
(2022-08)
Article
Open AccessApproximately 70,000 Spanish off-stream reservoirs, many of them irrigation ponds, need to be evaluated in terms of their potential hazard to comply with the new national Regulation of the Hydraulic Public Domain. This ... -
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Open AccessAlgorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
