Results 31 to 40 of about 15,951,579 (313)

Prediction Algorithm for State Prediction Model

Journal of Computers, 2012
Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors.
Zili Zhang, Hongwei Song, Yan Li, Hao Yang   +3 more
openaire   +2 more sources

Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems [PDF]

, 2009
This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van Tung, Tran, Van, Tan, Andy   +4 more
core   +1 more source

A Primer on Predictive Models

Clinical and Translational Gastroenterology, 2014
Prediction research is becoming increasing popular; however, the differences between traditional explanatory research and prediction research are often poorly understood, resulting in a wide variation in the methodologic quality of prediction research.
Waljee, Akbar K, Higgins, Peter D R, Singal, Amit G   +2 more
openaire   +2 more sources

Predictive modeling of complications [PDF]

Current Reviews in Musculoskeletal Medicine, 2016
Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient.
Osorio, Joseph A, Scheer, Justin K, Ames, Christopher P   +2 more
openaire   +4 more sources

Modelling monthly Boundary Layer Height maps combining radiosonde, satellite, and reanalysis over Europe [PDF]

Atmospheric Measurement Techniques
The height of the planetary boundary layer directly influences local and regional climatic phenomena, making its study and estimation of vital importance for environmental sciences. The main objective of this work was to create a gridded map of planetary
C. I. Argañaraz, C. I. Argañaraz, A. Salcedo-Bosch, S. Lolli, G. Curci, G. Curci   +5 more
doaj   +1 more source

An Advanced Prediction Model for Underwater Noise Emissions of Ships

, 2022
The aim of this paper is to investigate the relationship between design and operational ship parameters with respect to radiated underwater noise and to develop a semiempirical noise prediction model that includes the dominant noise contributors present ...
Holz, Florian, Schuster, Max G., Andresen-Paulsen, Gyde, Wittekind, Kurt, Ehlers, Sören, Daniel, Johanna M.   +5 more
core   +1 more source

Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations [PDF]

Atmospheric Chemistry and Physics, 2018
Online coupled meteorology–chemistry models permit the description of the aerosol–radiation (ARI) and aerosol–cloud interactions (ACIs). The aim of this work is to assess the representation of several cloud properties in regional-scale coupled models ...
R. Baró, R. Baró, P. Jiménez-Guerrero, M. Stengel, D. Brunner, G. Curci, G. Curci, R. Forkel, L. Neal, L. Palacios-Peña, N. Savage, M. Schaap, P. Tuccella, P. Tuccella, H. Denier van der Gon, S. Galmarini   +15 more
doaj   +1 more source

Development and internal validation of a prediction model for the presence of tinnitus in a Dutch population-based cohort

Frontiers in Neurology, 2023
ObjectivesIn this study we aim to develop and internally validate a prediction model on tinnitus experience in a representative sample of the Dutch general population.MethodsWe developed a multivariable prediction model using elastic net logistic ...
Maaike M. Rademaker, Maaike M. Rademaker, Adriana L. Smit, Adriana L. Smit, Robert J. Stokroos, Robert J. Stokroos, Maarten van Smeden, Inge Stegeman, Inge Stegeman   +8 more
doaj   +1 more source

A Deep Neural Model for Wind Turbine Failure Prediction

, 2021
Failures are a major problem for wind turbine electric systems, due to their harsh working environment and dispersed locations. Problem mitigation can be a possible method of failure prediction. Traditional failure prediction involves complex analysis of
Lucia Guerrisi
core  

Predictive models in the brain [PDF]

Connection Science, 2009
Many neuroscientists view prediction as one of the core brain functions. However, there is little consensus as to the exact nature of predictive information and processes, or the neural mechanisms that realise them. This paper reviews a host of neural models believed to underlie the learning and deployment of predictive knowledge in a variety of brain ...
openaire   +2 more sources