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Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data
There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...
Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic
(IEEE, 2022)
This paper presents a model of intervention at the first phases of global pandemic using the criteria of Mitchell that simplifies to some extent the philosophy of Machine Learning. These criteria are projected onto the ...
Price Prediction of Agricultural Products: Machine Learning
(SpringerPE, 2022)
Family farming is essentially characterized by the use of family labor force, due to the lack of land, water, and capital resources. An important tool is which allows them to know which products will be the best priced ...
Mining of variables from embryo morphokinetics, blastocyst’s morphology and patient parameters: An approach to predict the live birth in the assisted reproduction service
(2020-01-01)
Based on growing demand for assisted reproduction technology, improved predictive models are required to optimize in vitro fertilization/intracytoplasmatic sperm injection strategies, prioritizing single embryo transfer. ...
Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study
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 ...
Teamwork Quality Prediction Using Speech-Based Features
(SMM23, Workshop on Speech, Music and Mind 2023, 2023)
This paper describes a novel protocol for annotating teamwork quality and related variables, based only on the speech signal. Our protocol was designed to annotate a Spanish version of the Objects Games corpus, a publicly ...
An IoT Based Predictive Connected Car Maintenance Approach
Internet of Things (IoT) is fast emerging and becoming an almost basic necessity in general life. The concepts of using technology in our daily life is not new, but with the advancements in technology, the impact of ...
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
(2019-01-11)
We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties ...
Model Predictive Control Implementation for the Ocean Grazer Wave Energy Converter with a port-Hamiltonian Model
(Instituto Tecnológico de Costa Rica, 2018)
The ocean is a perpetual source of energy that has being studied for the last decades in order
to convert the energy from the waves and tides into electricity, through a clean process. So
far, several devices have been ...