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Toplam kayıt 36, listelenen: 21-30
The regional prediction model of PM10 concentrations for Turkey
(Elsevier Science Inc, 2016)
This study is aimed to predict a regional model for weekly PM10 concentrations measured air pollution monitoring stations in Turkey. There are seven geographical regions in Turkey and numerous monitoring stations at each ...
Rational (Pade) approximation for estimating the components of the partially-linear regression model
(Taylor & Francis Inc., 2021)
This paper proposes a new smoothing technique based on rational function approximation using truncated total least squares (P - TTLS) and compares it with the widely used smoothing spline method, which has become a very ...
Event-Oriented, Model-Based GUI Testing and Reliability Assessment-Approach and Case Study
(Elsevier Academic Press Inc, 2012)
It is widely accepted that graphical user interfaces (GUIs) highly affect-positive or negative-the quality and reliability of human-machine systems. However, quantitative assessment of the reliability of GUIs is a relatively ...
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets
(SAGE Publications Inc., 2021)
In this study, parametric and semi-parametric regression models are examined for random right censorship. The components of the aforementioned regression models are estimated with weights based on Cox and Kaplan-Meier ...
Consistency and Asymptotic Normality of Estimator for Parameters in Multiresponse Multipredictor Semiparametric Regression Model
(MDPI, 2022)
A multiresponse multipredictor semiparametric regression (MMSR) model is a combination of parametric and nonparametric regressions models with more than one predictor and response variables where there is correlation between ...
Mapping the forest fire risk zones using artificial intelligence with risk factors data
(SPRINGER HEIDELBERG, 2022)
Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological ...
Performance of function-based AEWMA coefficient of variation control chart with measurement errors
(TAYLOR & FRANCIS INC, 2022)
A new coefficient of variation (CV) functionally adaptive exponentially weighted moving average control chart is presented by considering the influence of the measurement error (ME) and named the "FAEWMA-ME-CV" control ...
Criteria for Best Architecture Selection in Artificial Neural Networks
(World Scientific Publishing Co., 2022)
Architecture selection in artificial neural networks is a critical process which determines a satisfactory neural network model(s) that will lead to the most accurate results. The architecture that minimizes the difference ...
Time Series Modeling with Deep Neural Networks
(World Scientific Publishing Co., 2022)
Deep neural networks are the latest among powerful artificial intelligence tools. As advanced forms of artificial neural networks, deep nets can be used in various fields and also time series forecasting. Time series ...
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
(John Wiley and Sons Inc, 2022)
This paper aims to present an overview of Semiparametric additive models. An estimation of the finite-parameters of semiparametric regression models that involve additive nonparametric components is explained, including ...