In this paper, a parallelized version of multivariate adaptive regression splines (MARS, Friedman 1991) is developed and utilized within a decision-making framework (DMF) based on an OA/MARS continuous-state stochastic dynamic programming (SDP) method (Chen et al. 1999). The DMF is used to evaluate current and emerging technologies for the multi-level liquid line of a wastewater treatment syste...

In this study, taking into account the Aksu Stream data, daily total precipitation (P) and mean flow (Q) values were using time lagged, 8 different Rainfall-Runoff models created runoff value estimated for future. The have been tried with methods performances compared process. Artificial Intelligence (AI) methods, Neural Networks (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) Heuristic Re...

The research proposes a simple but geomorphologically adequate method to produce combined landslide susceptibility map. In fact, in logic of real use, offering type-specific maps land use planners and administration could be not successful solution. On the other hand, grouping more types landslides misleading for model calibration considering that relationships between slope failures geo-enviro...

In this paper, two artificial intelligence (AI) models (i.e., neural networks (ANN) and multivariate adaptive regression splines (MARS)) were developed using cumulative percentiles from the grain-size distribution (GSD) curve as input information to predict soil-water characteristic (SWCC). The importance of each variable was testified different sensitivity analyses. results show a strong corre...

The accurate estimation of dew point temperature ( T ) is important in climatological, agricultural, and agronomical studies. In this study, the feasibility two soft computing methods, random forest (RF) multivariate adaptive regression splines (MARS), evaluated for predicting long-term mean monthly . Various weather variables including air temperature, sunshine duration, relative humidity, inc...

Indonesia is one of the countries infected with covid-19 virus. One government's efforts vaccination. However, vaccination caused controversy for some people because many refused to be vaccinated. Public perception vaccine can categorized into two, namely positive and negative, based on survey from ministry health about acceptance state that this influenced by factors. These factors are importa...

Objective speech quality assessment algorithms provide low-cost and online monitoring of voice calls, replacing costly and timeconsuming subjective listening tests. We propose a novel approach to objective speech quality measurements using Gaussian mixture models (GMMs). A large pool of perceptual distortion features is extracted from speech files and multivariate adaptive regression splines (M...

Regression analysis is commonly undertaken to identify the effects of each of these characteristics on income (or expenditure) per capita. Attention is needed to choose the independent variables carefully, to be sure that they are indeed exogenous. A number of more exotic techniques are now available for this purpose, including classification and regression tree (CART) models and multiple-adapt...

Nowadays, much attention has been paid to intrusion detection system (IDS) which is closely linked to the safe use of network services. Several machine-learning paradigms including neural networks, linear genetic programming (LGP), support vector machines (SVM), Bayesian networks, multivariate adaptive regression splines (MARS) fuzzy inference systems (FISs), etc. have been investigated for the...

Long-term global land surface fractional vegetation cover (FVC) products are essential for various applications. Currently, several global FVC products have been generated from medium spatial resolution remote sensing data. However, validation results indicate that there are inconsistencies and spatial and temporal discontinuities in the current FVC products. Therefore, the Global LAnd Surface ...