In this work, a hybrid neural model (HNM) able to characterize accurately the dispersion behavior of the fundamental TE10 mode of a single layer SIW waveguide, is developed. The HNM combines the analytical expression that models the dispersion characteristics of this guiding structure, with a Multi Layer Perceptron Neural Network (MLPNN) which operates as an estimator of the cutoff angular freq...

Software defect prediction has turned into an expected requirement for organizations to guarantee quality and reliability of software products. The early defect prediction can encourage managers to amend and improve reliability of product. Methodologies, for example, machine learning and neural network have ended up as eminent solution for training and classification of data and can be importan...

Flow conditions (flow discharge, flow depth, and velocity) in natural streams are mainly determined via the resistance formula such as Manning’s equation. Evaluating accurate roughness coefficient (n), especially rivers with bed form during floods, to obtain more reliable results has always been of interest scholars. The interaction between is very complex since control forms, vice versa. main ...

Abstract Water content on site-measurement of dried seaweed required method with a minimum time sample preparation time, less destructive effect to the sample, and could be validated. This research aimed evaluate potency some features consist image texture, resistance, capacitance data humidity sensor predict water changing Gracilaria sp. during sun-drying. Dried was rehydrated before being use...

In this study, a support vector regression (SVR) approach based on radial basis function was used for estimating sugarcane yield in the Wonji-Shoa plantation (Ethiopia) combining Landsat 8 (L8) and sentinel 2A (S2A) data. Vegetation Indices(VIs) involving visible, near-infrared, shortwave infrared bands were calculated from L8 S2A sensor observations, seasonal cumulative values computed period ...

Abstract Optimizing purposes of the drilling process include reduction in time, saving costs, and increasing efficiency, which requires optimization controllable variables affecting process. Drilling is directly related to maximizing rate penetration (ROP). However, estimation ROP difficult due complexity relationship between The main goal this study develop three computational intelligence (CI...

In order to provide an efficient conversion and utilization of solar power, solar radiation datashould be measured continuously and accurately over the long-term period. However, the measurement ofsolar radiation is not available to all countries in the world due to some technical and fiscal limitations. Hence,several studies were proposed in the literature to find mathematical and physical mod...

Remote patient tracking has recently gained increased attention, due to its lower cost and non-invasive nature. In this paper, the performance of Support Vector Machines (SVM), Least Square Support Vector Machines (LS-SVM), Multilayer Perceptron Neural Network (MLPNN), and General Regression Neural Network (GRNN) regression methods is studied in application to remote tracking of Parkinson’s dis...

The present study attempts to model the spatiotemporal urban growth of Kolkata metropolitan area (KMA), India, in a comparative modeling framework using three (remote sensing and geographic information system) RS-GIS integrated techniques, namely stochastic-choice Markov-chain (STCHOICE), cellular automata-Markov (CA-MARKOV), multi-layer perceptron neural network (MLPNN) coupled with approaches...