ListarRESULTADOS DE INVESTIGACIÓN por tema "machine learning"
Mostrando ítems 21-40 de 51
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Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
(IEEE Access, 2020)Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ... -
Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey
(KSII transactions on internet and information systems, 2021)Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things ... -
Determinación automática de los límites de Atterberg con machine learning
(DYNA, 2022)En este estudio, determinamos el límite líquido (𝑊𝑙), el índice de plasticidad (PI) y el límite plástico (𝑊𝑝) de suelos naturales finos con ayuda de machine-learning y métodos estadísticos. Ello permite localizarlos ... -
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ... -
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ... -
Hybrid Approach Based on Machine Learning for Hand Shape and Key Point's Estimation
(Journal of Interconnection Networks, 2022)In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a ... -
Hybrid machine learning techniques in the management of harmful algal blooms impact
(Computers and Electronics in Agriculture, 2023)Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate high ... -
Impacto de las emociones vertidas por diarios digitales en Twitter
(Profesional de la Información, 09/2020)The use of Twitter by newspapers is widespread and is a way to keep readers informed in real time. In this article, we analyze the discourse of the messages released by the ten main general information newspapers in Spain ... -
Initial Approach for Construction of a Public Dataset for Emotional Analysis Through Brain-Computer Interfaces and Second Language Platforms
(IEEE Global Engineering Education Conference, EDUCON, 2023)In recent years, the deepening of the role of emotions in education has increased, since it has been shown that emotions influence what we learn and retain, in different areas such as learning a second language. Likewise, ... -
Inteligencia artificial contra la desinformación: fundamentos, avances y retos
(Profesional de la Informacion, 2023)Internet y las redes sociales han revolucionado la forma en la que se distribuye y consume la información. Sin embargo, la enorme cantidad de contenidos disponibles en estas plataformas dificulta la tarea distinguir entre ... -
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
(Computers and Electrical Engineering, 2022)With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the ... -
Machine Learning and Student Activity to Predict Academic Grades in Online Settings in Latam
(Springer Science and Business Media Deutschland GmbH, 2021)In the past few years, interest in applying intelligent data-mining techniques to educational datasets has increased rapidly, with goals ranging from identifying students who need further support to being able to infer or ... -
Measuring anomalies in cigarette sales using official data from Spanish provinces: Are the anomalies detected by the Empty Pack Surveys (EPSs) used by Transnational Tobacco Companies (TTCs) the only anomalies?
(Tobacco induced diseases, 2021)INTRODUCTION There is a literature that questions the veracity of the studies commissioned by transnational tobacco companies (TTCs) to measure the illicit tobacco trade. Furthermore, there are studies that have indicated ... -
Mining Pre-Grade Academic and Demographic Data to Predict University Dropout
(Springer Science and Business Media Deutschland GmbH, 2021)Digital transformation is enabling institutions to enhance their processes by using data and technology. In education, digital transformation allows improving the learning experience as well as the institution processes. ... -
Online hate speech and emotions on Twitter: a case study of Greta Thunberg at the UN Climate Change Conference COP25 in 2019
(Social Network Analysis and Mining, 2023)The presence of environmental activist Greta Thunberg at the UN Climate Change Conference COP25 in 2019 prompted reactions on social media, which grew exponentially after she was named Time Magazine's Person of the Year ... -
Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. ... -
Planificación y gestión de proyectos de plantas fotovoltaicas aplicando inteligencia artificial
(Proceedings from the International Congress on Project Management and Engineering, 2021)Las energías renovables han tenido un crecimiento exponencial en los últimos años como queda reflejado por la agencia internacional de energía (AIE), según sus previsiones, la participación de las renovables en el suministro ... -
Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study
(Journal of Geochemical Exploration, 01/2020)The distribution patterns of trace elements are very useful for predicting mineral deposits occurrence. Machine learning techniques were used for the computation of adequate models in trace elements' prediction. The main ... -
Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning
(AI and Society, 01/09/2019)Through the application of machine learning techniques, this paper aims to estimate the importance of messages with ideological load during the elections held in Spain on May 24th, 2015 posted by Twitter’s users, as well ... -
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques
(Agriculture and environment perspectives in intelligent systems, 2019)Currently, due to the global shortage of water, the use of reclaimed water from the Wastewater Treatment Plants (WWTPs) for the irrigation of crops is an alternative in areas with water scarcity. However, the use of this ...