ListarRESULTADOS DE INVESTIGACIÓN por tema "machine learning"
Mostrando ítems 1-20 de 51
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A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain
(Agriculture, 2022)Predictive systems are a crucial tool in management and decision-making in any productive sector. In the case of agriculture, it is especially interesting to have advance information on the profitability of a farm. In this ... -
A new algorithm for time series prediction using machine learning models
(Evolutionary Intelligence, 2023)Two stage grid search accepted as a promising heuristic search technique, involves a search performed in two stages. In the first stage a search is performed in coarse grain/low resolution to identify the optimal region ... -
A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques
(Computers & Security, 2022)Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack ... -
A proposal for sentiment analysis on twitter for tourism-based applications
(Frontiers in Artificial Intelligence and Applications, 2018)People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ... -
A real-life machine learning experience for predicting university dropout at different stages using academic data
(Institute of Electrical and Electronics Engineers Inc., 2021)High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ... -
A Review on Intrusion Detection Systems and Techniques
(International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ... -
A systematic review of the effects of automatic scoring and automatic feedback in educational settings
(Institute of Electrical and Electronics Engineers Inc., 2021)Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ... -
Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data
(Soft Computing, 03/2017)This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ... -
An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis
(Applied Soft Computing, 05/2017)Social networks link people and machines, providing a huge amount of information that grows very fast without the possibility to be handled manually. Moreover, opinion mining is the process of using natural language ... -
An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks
(IEEE ACCESS, 2020)Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ... -
Analysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce
(Communications in Computer and Information Science, 2022)The analysis focuses on data from an e-commerce retailer to identify the classification techniques for obtaining the best performances of validated classification algorithms. It is essential to highlight that this type of ... -
Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday
(Espacios, 06/2018)Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ... -
Applicability domains of neural networks for toxicity prediction
(AIMS Mathematics, 2023)In this paper, the term “applicability domain” refers to the range of chemical compounds for which the statistical quantitative structure-activity relationship (QSAR) model can accurately predict their toxicity. This is a ... -
Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems
(Environmental Impact Assessment Review, 01/2021)The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions ... -
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence, 2021)The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ... -
Building a dataset through attack pattern modeling and analysis system
(Elsevier Ltd, 2022)The different types of cyber-attacks on information and telecommunications systems are becoming increasingly sophisticated and complex, with several defined phases (attack pattern). Therefore, it is necessary to research ... -
Clustering analysis for automatic certification of LMS strategies in a university virtual campus
(IEEE Access, 2019)In recent years, the use of Learning Management Systems (LMS) has grown considerably. This has had a strong effect on the learning process, particularly in higher education. Most universities incorporate LMS as a complement ... -
Cognitive Evaluation of Examinees by Dynamic Question Set Generation based on Bloom’s Taxonomy
(IETE Journal of Research, 2023)Educational data mining (EDM) is an emerging topic in recent years steered by data mining and machine learning techniques to enhance students’ overall learning experience and academic progress. In recent years EDM techniques ... -
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ... -
Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease
(Springer Science and Business Media Deutschland GmbH, 2022)Background: Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. ...