Listar Colecciones de Investigación y Producción Científica - Ikerketa eta ekoizpen zientifikoko Bildumak por tema "Machine learning"
Mostrando ítems 1-20 de 20
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Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms
Progress in development of building-integrated photovoltaic systems is still hindered by the complexity of the physics and materials properties of the photovoltaic (PV) modules and its effect on the thermal behavior of the ... -
Ammonia gas optical sensor based on lossy mode resonances
This letter presents the fabrication and characterization of an ammonia (NH 3) gas optical sensor based on lossy mode resonances (LMRs). A chromium (III) oxide (Cr 2 O 3) thin film deposited onto a planar waveguide was ... -
Behavioral analysis in cybersecurity using machine learning: a study based on graph representation, class imbalance and temporal dissection
The main goal of this thesis is to improve behavioral cybersecurity analysis using machine learning, exploiting graph structures, temporal dissection, and addressing imbalance problems.This main objective is divided into ... -
Bitcoin and cybersecurity: temporal dissection of blockchain data to unveil changes in entity behavioral patterns
The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity ... -
Combination of spectral and textural features of hyperspectral imaging for the authentication of the diet supplied to fattening cattle
This study explored the potential of hyperspectral imaging in the near infrared region (NIR-HSI) as a non-destructive and rapid tool to discriminate among two beef fattening diets. For that purpose, a feeding trial was ... -
A comparison of performance of SWAT and machine learning models for predicting sediment load in a forested Basin, Northern Spain
In water bodies, sediment transport is a potential source of numerous negative effects on water resource projects and can damage environmental services. Two machine learning (ML) algorithms, the M5P and random forest (RF) ... -
Dynamic prediction of effective runoff sediment particle size for improved assessment of erosion mitigation efficiency with vegetative filter strips
The most widely implemented mitigation measure to reduce transfer of surface runoff pesticides and other pollutants to surface water bodies are vegetative filter strips (VFS). The most commonly used dynamic model for ... -
Empowering undergraduates through machine learning
This report describes a teaching experience with undergraduates to approach, in a simple and practical way, artificial intelligence (AI) and machine learning (ML) – generalpurpose technologies that are highly demanded in ... -
Evaluating the efficacy of ChatGPT in navigating the spanish medical residency entrance examination (MIR): promising horizons for AI in clinical medicine
The rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance ... -
Exploring the addition of audio input to wearable punch recognition
(Association for Computing Machinery (ACM), 2019) Contribución a congreso / Biltzarrerako ekarpenaMartial arts can promote healthy lifestyles, improve self-confidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and ... -
Gaze estimation based on machine learning
Esta tesis, desarrollada en el marco del grupo GI4E, se centra en el desarrollo de un algoritmo de estimación de la mirada para sistemas de videooculografía (Video-oculography, VOG) que hacen uso de componentes genéricos. ... -
Immediate brain plasticity after one hour of brain-computer interface (BCI)
A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain ... -
Impact of artificial intelligence on customer engagement and advertising engagement: a review and future research agenda
This study, through a bibliometric analysis, aims to provide increased knowledge of the evolution and effects of artificial intelligence over the last 30 years in customer engagement and advertising engagement. Articles ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
Machine learning-based analysis engine to identify critical variables in multi-stage processes: application to the installation of blind fasteners
Quality control in manufacturing is a recurrent topic as the ultimate goals are to produce high quality products with less cost. Mostly, the problems related to manufacturing processes are addressed focusing on the process ... -
Online classification of user activities using machine learning on network traffic
The daily deployment of new applications, along with the exponential increase in network traffic, entails a growth in the complexity of network analysis and monitoring. Conversely, the increasing availability and decreasing ... -
Prediction of failure in reorganization agreements under Colombia's Corporate Insolvency Act
Purpose – The aim of this paper is to provide an overview of the impact of the implementation of Colombian Corporate Insolvency Act 1116 of 2006 in the period 2008–2018 and to assess the relevance of a broad set of financial ... -
Simheuristics: an introductory tutorial
Both manufacturing and service industries are subject to uncertainty. Probability techniques and simulation methods allow us to model and analyze complex systems in which stochastic uncertainty is present. When the goal ... -
A systematized review on the applications of hyperspectral imaging for quality control of potatoes
The application of hyperspectral imaging (HSI) has gained signifcant importance in the past decade, particulary in the context of food analysis, including potatoes. However, the current literature lacks a comprehensive ... -
Trends, projections, and regional disparities of maternal mortality in Africa (1990-2030): an ARIMA forecasting approach
With the United Nations Sustainable Development Goals (SDG) (2015–2030) focused on the reduction in maternal mortality, monitoring and forecasting maternal mortality rates (MMRs) in regions like Africa is crucial for health ...