Buscar
Mostrando ítems 21-28 de 28
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 ...
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 ...
Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...
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 ...
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 ...
An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis
(Applied Soft Computing, 2017-05)
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 ...
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 ...
Predicting emergency health care demands due to respiratory diseases
(International Journal of Medical Informatics, 2023)
Background: Timely care in the health sector is essential for the recovery of patients, and even more so in the case of a health emergency. In these cases, appropriate management of human and technical resources is essential. ...