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Parameter and predictive outcomes of model simplification [PDF]
Simplification is an unavoidable aspect of model usage. Even complex, physically based models are simplifications of reality. More profound simplification is required to construct the “lumped parameter” models of semiphysical basis that are often employed for simulation of large‐scale processes operative over one or many watersheds.
Watson, Ty A. +2 more
openaire +2 more sources
Research on ionospheric parameters prediction based on deep learning
For ionospheric parameter prediction, the short-term and daily mean value prediction of ionospheric parameters was established by long short-term memory (LSTM) predictive neural network modeling.Two methods of point-by-point prediction and sequence ...
Yuntian FENG +3 more
doaj +2 more sources
Introduction Among the numerous scores for difficult intubation assessment, there is no single score that is specific for laryngeal surgery. The parameters identified by this research will provide a foundation for developing a new score for preoperative ...
Danica Marković +5 more
doaj +1 more source
An IoT-Based Smart Building Solution for Indoor Environment Management and Occupants Prediction
Smart buildings use Internet of Things (IoT) sensors for monitoring indoor environmental parameters, such as temperature, humidity, luminosity, and air quality.
Alessandro Floris +3 more
doaj +1 more source
The main aim of the current work was to build up a new mathematical modelling approach in predictive food microbiology field for the prediction of growth kinetics of microorganisms. For this purpose, the bacterial growth data of Pseudomonas spp. in whole
Fatih Tarlak +2 more
doaj +1 more source
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model
With tunnel boring machines (TBMs) widely used in tunnel construction, the adaptable adjustment of TBM operating status has become a research focus.
Qinglong Zhang +5 more
doaj +1 more source
PARAMETERS ON THE BOUNDARY IN PREDICTIVE REGRESSION
We consider bootstrap inference in predictive (or Granger-causality) regressions when the parameter of interest may lie on the boundary of the parameter space, here defined by means of a smooth inequality constraint. For instance, this situation occurs when the definition of the parameter space allows for the cases of either no predictability or sign ...
Giuseppe Cavaliere +2 more
openaire +4 more sources
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
The Development of Prediction Indicators on Currency Market Using Neuro-Fuzzy Method [PDF]
A technical indicator is an analysis instruments to help traders analyzing forex price movements through charts. Prediction indicators are artificial technical indicators that can help traders to analyse forex price movements in the future.
Limowa Lie Ronald +4 more
doaj +1 more source

