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Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposi...

Published in International Journal of Environmental Research and Public Health

Exposure to high concentration levels of radon gas constitutes a major health hazard, being nowadays the second-leading cause of lung cancer after smoking. Facing this situation, the last years have seen a clear trend towards the search for methodologies that allow an efficient prevention of the potential risks derived from the presence of harmful ...

Neural Network Model Synthesis Based on a Regression Tree

Published in Automatic Control and Computer Sciences

AbstractThe problem of dependency modeling by experimentally obtained observations is considered. The objective is to develop methods for neural network model synthesis allowing to automatize, simplify and speed-up model building. The mathematical support for neural network model synthesis is developed. It contains set of methods that transform the...

Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by U...

The amount of water allocated to irrigation systems is significantly greater than the amount allocated to other sectors. Thus, irrigation water demand management is at the center of the attention of the Ministry of Agriculture and Forestry in Turkey. To plan more effective irrigation systems in agriculture, it is necessary to accurately calculate p...

Predicting Productive Performance in Grow-Finisher Pigs Using Birth and Weaning Body Weight

Published in Animals : an Open Access Journal from MDPI

Simple Summary Smaller than average sized pigs requiring extra time to reach target slaughter weight are often referred to as slow growing pigs. This subset of pigs poses a management challenge and may have economic implications for pig producers. The aims of this study were to investigate the effect of birth and weaning body weight on performance ...

Regression Tree Model for Predicting Game Scores for the Golden State Warriors in the National Basketball Association

Data mining is becoming increasingly used in sports. Sport data analyses help fans to understand games and teams&rsquo / results. Information provided by such analyses is useful for game lovers. Specifically, the information can help fans to predict which team will win a game. Many scholars have devoted attention to predicting the results of variou...

Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction

This work compares the solar power forecasting performance of tree-based methods that include implicit regime-based models to explicit regime separation methods that utilize both unsupervised and supervised machine learning techniques. Previous studies have shown an improvement utilizing a regime-based machine learning approach in a climate with di...

Short-Term Traffic Flow Forecasting via Multi-Regime Modeling and Ensemble Learning

Short-term traffic flow forecasting is crucial for proactive traffic management and control. One key issue associated with the task is how to properly define and capture the temporal patterns of traffic flow. A feasible solution is to design a multi-regime strategy. In this paper, an effective approach to forecasting short-term traffic flow based o...

Predictors of Students’ Mathematics Achievement in Secondary Education

Abstract Acknowledging the relevance of mathematics education, as well the evidence about predictors related to achievement in this domain, the present study performed a predictive analysis of students’ mathematics achievement in the National Exam for Secondary Education, employing the Regression Tree Method and a model with 53 predictors. Results ...

Radial-Basis Function Neural Network Synthesis on the Basis of Decision Tree

Published in Optical Memory and Neural Networks

AbstractThe problem of neural network synthesis on the precedents is addressed. The aim of the study is to create methods for radial-basis neural network model constructing having high levels of generalization and accuracy, which do not require user participation in the process of model building. The method of decision tree transforming into a neur...

Tilted Photovoltaic Energy Outputs in Outdoor Environments

The direction and environment of photovoltaics (PVs) may influence their energy output. The practical PV performance under various conditions should be estimated, particularly during initial design stages when PV model types are unknown. Previous studies have focused on a limited number of PV projects, which required the details of many PV models /...