Results 1 to 10 of about 707,752 (229)

Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux

Energies, 2021
Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing information related to the topic ...
Antonio Manuel Gómez-Orellana, Juan Carlos Fernández, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez   +4 more
doaj   +1 more source

Wind energy production by means of diffusion stochastic process. Parameters estimation [PDF]

EPJ Web of Conferences
In this work, we attempt to model wind energy production via a stochastic diffusion process. We consider an Ito-type stochastic differential * equation (SDE) and determine the probabilistic characteristics of the stochastic process solution, particularly
Oubamou Zian, El Kettani Moummou
doaj   +1 more source

Human intracranial pulsatility during the cardiac cycle: a computational modelling framework

Fluids and Barriers of the CNS, 2022
Background Today’s availability of medical imaging and computational resources set the scene for high-fidelity computational modelling of brain biomechanics. The brain and its environment feature a dynamic and complex interplay between the tissue, blood,
Marius Causemann, Vegard Vinje, Marie E. Rognes   +2 more
doaj   +1 more source

Order 1 autoregressive process of finite length

Journal of Numerical Analysis and Approximation Theory, 2007
The stochastic processes of finite length defined by recurrence relations request additional relations specifying the first terms of the process analogously to the initial conditions for the differential equations.
Călin Vamoş, Ştefan M. Şoltuz, Maria Crăciun   +2 more
doaj   +2 more sources

Evaluating associative classification algorithms for Big Data

Big Data Analytics, 2019
Background Associative Classification, a combination of two important and different fields (classification and association rule mining), aims at building accurate and interpretable classifiers by means of association rules.
Francisco Padillo, José María Luna, Sebastián Ventura   +2 more
doaj   +1 more source

Collective Aggregation Model Based on the Hybridization of the EVAMIX Method and the VMAVA+ Voting Method

International Journal of Mathematics and Mathematical Sciences
In today’s society, collective decision-making is an essential part of the process. It involves making a choice, finding a consensus between several divergent or even conflicting opinions.
Zoïnabo Savadogo, Hadarou Yiogo
doaj   +1 more source

Numerical Simulation Analysis of the Impact of Active Ground Fissures on Damage to Urban Overpasses [PDF]

, 2023
Yao Cheng, Pengqi Wang, Xu Qiang
openalex   +1 more source

Numerical Analysis of Ice Rubble with a Freeze-Bond Model in Dilated Polyhedral Discrete Element Method [PDF]

, 2021
Biyao Zhai, Lu Liu, Shunying Ji
openalex   +1 more source

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks

Scientific Reports
Artificial Neural Networks (ANNs) have been used in a multitude of real-world applications given their predictive capabilities, and algorithms based on gradient descent, such as Backpropagation (BP) and variants, are usually considered for their ...
Francisco Bérchez-Moreno, Antonio M. Durán-Rosal, César Hervás Martínez, Pedro A. Gutiérrez, Juan C. Fernández   +4 more
doaj   +1 more source

NUMERICAL SIMULATION AND EXPERIMENTAL ANALYSIS OF SPRAY FIELD OF IMPINGEMENT NOZZLE [PDF]

, 2023
Fulong Dong, W. L. He, Hongping Zhou
openalex   +1 more source