Listar por tema "prediction"
Mostrando ítems 1-20 de 20
-
Algorithm and software based on MLPNN for estimating channel use in the spectral decision stage in cognitive radio networks
(ARPN Journal of Engineering and Applied Sciences, 01/03/2018)The use of the multilayer perceptron neural networks (MLPNN) technique is proposed to estimate the future state of use of a licensed channel by primary users (PUs); this will be useful at the spectral decision stage in ... -
Análisis de la influencia de los goles encajados en la clasificación final de las principales ligas de fútbol europeas
(Journal of Sport and Health Research, 09/2019)En el fútbol, el número de goles anotados o encajados, es lo que da como resultado que se obtenga o no la victoria. Los objetivos de este trabajo fueron: conocer las diferencias de los goles encajados en función del ... -
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable ... -
Aplicación de Machine Learning para la previsión de las curvas de contagios de COVID-19 en Europa
(15/07/2021)La epidemia de COVID-19 es uno de los grandes retos del siglo XXI, desde un punto de vista sanitario, social y económico. Poder realizar predicciones acertadas sobre su evolución nos permite anticipar qué acciones son ... -
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ... -
Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ... -
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 ... -
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 (IJIMAI), 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 ... -
Improvement of Academic Analytics Processes Through the Identification of the Main Variables Affecting Early Dropout of First-Year Students in Technical Degrees. A Case Study
(International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)The field of research on the phenomenon of university dropout and the factors that promote it is of the utmost relevance, especially in the current context of the Covid-19 pandemic. Students who have started degrees in the ... -
Modelado y caracterización de jugadores de tenis para la predicción de resultados en eventos deportivos
(24/06/2021)Tomando como referencia portales web donde se pueden encontrar infinidad de datos deportivos, el objetivo del presente proyecto se basa en la explotación de dicha información para realizar predicciones deportivas a través ... -
Percolation Threshold of AOT Microemulsions with n-Alkyl Acids as Additives Prediction by Means of Artificial Neural Networks
(Tenside Surfactants Detergents, 09/2013)Different artificial neural networks architectures have been assayed to predict percolation temperature of AOT/iC(8)/H2O microemulsions in the presence of n-alkyl acids with a chain length between 0 and 24 carbons, using ... -
Predicción del rendimiento académico en educación secundaria mediante el análisis de árboles de decisión
(Educación XX1, 2024)El objetivo del presente estudio fue desarrollar un modelo de predicción del rendimiento académico (éxito o fracaso escolar) mediante la aplicación de un análisis de árbol de decisión. Se realizó un estudio transversal ... -
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. ... -
Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence
(SAGE Journals, 2022)A substantial minority of women who experience interpersonal violence will develop posttraumatic stress disorder (PTSD). One critical challenge for preventing PTSD is predicting whose acute posttraumatic stress symptoms ... -
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. ... -
Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)There are several techniques to support simulation of time series behavior. In this chapter, the approach will be based on the Composite Monte Carlo (CMC) simulation method. This method is able to model future outcomes of ... -
Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is ... -
Sistema de recogida, almacenamiento y predicción de valores de criptomonedas
(10/2021)En los últimos años, gracias a los avances en las ciencias de la computación, tanto en el apartado relativo a la mejora de hardware, como en el uso de nuevas técnicas para computar y manejar grandes cantidades de datos, ... -
Time-Dependent Performance Prediction System for Early Insight in Learning Trends
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)Performance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically ... -
Toxicity prediction based on artificial intelligence: A multidisciplinary overview
(John Wiley and Sons Inc, 2021)The use and production of chemical compounds are subjected to strong legislative pressure. Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory aspects for a multitude of industries, ...
