نتایج جستجو برای: multivariate adaptive regression splines mars model

تعداد نتایج: 2554484  

2012
J. Saraiva E. I. Alves A. Machado D. A. Vaz L. Ban G. Ori

Introduction: Dunes are common features on planetary surfaces where unconsolidated material is present in abundance and responds to an atmosphere capable of producing significant winds. Wind is the most important erosive agent on present-day Mars, and the availability of large amounts of loose sand and dust provides conditions for the existence of dune fields all over the planet. They are the m...

2013
D. Senthilkumar S. Paulraj

Diabetes mellitus is a chronic disease, also associated with an increased risk for heart disease and is emerging as a serious health challenge in India. It requires continuing medical care and patient self-management education to prevent severe problems and to reduce the risk of long-term problems. Healthcare industry stores a large amount of data which is not properly used to discover the hidd...

2015
Concepción Crespo-Turrado Fernando Sánchez Lasheras José Luís Calvo-Rolle Andrés José Piñón Pazos Francisco Javier de Cos Juez

Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, and current in each phase and power factor) adversely affects any time series study performed. When this occurs, a data im...

2014
S. D. Oduro Q. P. Ha

Motor vehicles’ rate models for predicting emissions of oxides of nitrogen (NOX ) are insensitive to their modes of operation such as cruise, acceleration, deceleration and idle, because these models are usually based on the average trip speed. This study demonstrates the feasibility of using other variables such as vehicle speed, acceleration, load, power and ambient temperature to predict NOX...

2014
Hyunsu Ju Allan R Brasier Alexander Kurosky Bo Xu Victor E Reyes David Y Graham

BACKGROUND The development of accurate classification models depends upon the methods used to identify the most relevant variables. The aim of this article is to evaluate variable selection methods to identify important variables in predicting a binary response using nonlinear statistical models. Our goals in model selection include producing non-overfitting stable models that are interpretable...

Journal: :Simulation Modelling Practice and Theory 2014
Liesje Van Gelder Payel Das Hans Janssen Staf Roels

Computer simulation of real system behaviour is increasingly used in research and development. As simulation models become more reliable, they also often become more complex to capture the progressive complexity of the real system. Calculation time can be a limiting factor for using simulation models in optimisation studies, for example, which generally require multiple simulations. Instead of ...

Journal: :The Annals of Statistics 1997

Journal: :Decision Sciences 2014
Eren Demir

The number of emergency (or unplanned) readmissions in the United Kingdom National Health Service (NHS) has been rising for many years. This trend, which is possibly related to poor patient care, places financial pressures on hospitals and on national healthcare budgets. As a result, clinicians and key decision makers (e.g. managers and commissioners) are interested in predicting patients at hi...

Journal: :IEEE Access 2023

Dihydrofolate reductase (DHFR) enzyme is a crucial component of cell growth and proliferation in the human body, making it an important target for treating cancer diseases. This study aims to predict inhibitory activity (pXC50) dihydrofolate inhibitors terms quantitative structure-activity relationship (QSAR) model. Interpretation QSAR model vital understanding physicochemical processes assist ...

Journal: :Water 2023

Excessive population growth and high water demands have significantly increased extractions from deep semi-deep wells in the arid regions of Iran. This has negatively affected quality different areas. The Water Quality Index (WQI) is a suitable tool to assess such impacts. study used WQI fuzzy hierarchical analysis process index (FAHP-WQI) investigate status 96 agricultural Yazd-Ardakan Plain, ...

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