Machine learning model for the prediction of landslides due to the “El Niño” phenomenon in Peruvian educational institutions
REM Musaja, A Arroyo-Paz - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
This study develops a machine learning model to predict landslides induced by the “El Niño”
phenomenon in educational institutions in Peru. We use a dataset of 55,335 records from …
phenomenon in educational institutions in Peru. We use a dataset of 55,335 records from …
Exploring hybrid models for short-term local weather forecasting in IoT environment
This paper explores using and hybridizing simple prediction models to maximize the
accuracy of local weather prediction while maintaining low computational effort and the …
accuracy of local weather prediction while maintaining low computational effort and the …
Initial coin offering prediction comparison using Ridge regression, artificial neural network, random forest regression, and hybrid ANN-Ridge
Can machine learning take a prediction to win an investment in ICO (Initial Coin Offering)? In
this research work, our objective is to answer this question. Four popular and lower …
this research work, our objective is to answer this question. Four popular and lower …
Quick Hidden Layer Size Tuning in ELM for Classification Problems
A Albtoush, M Fernandez-Delgado… - …, 2024 - eshop-drevopraha.test.infv.eu
The extreme learning machine is a fast neural network with outstanding performance.
However, the selection of an appropriate number of hidden nodes is time-consuming …
However, the selection of an appropriate number of hidden nodes is time-consuming …