Polysaccharide-based edible coating can be useful as a pretreatment for drying since it prevents the oxidation of nutritional compounds, thereby improving quality dried products. In this study, effects polysaccharide (xanthan and balangu seed gums) on kinetics apricot slices were investigated. addition, genetic algorithm–artificial neural network (GA-ANN) adaptive neuro-fuzzy inference system (...

BACKGROUND Electromyography (EMG) is the study of muscle function through the inquiry of electrical signals that the muscles emanate. EMG signals collected from the surface of the skin (Surface Electromyogram: sEMG) can be used in different applications such as recognizing musculoskeletal neural based patterns intercepted for hand prosthesis movements. Current systems designed for controlling t...

This study conducted experiments used for the development of both regression model with uncertainty analysis and adaptive neuro-fuzzy inference system (ANFIS) prediction yield biodiesel (YB) produced from castor oil in presence calcium oxide derived eggshell. Box Behnken design (BBD) was to develop experimental condition five different variables while YB response. Uncertainty determined Monte C...

The present study provided the first-time comprehensive evaluation of 12 advanced statistical and machine learning (ML) algorithms for Soil Moisture (SM) estimation from dual polarimetric Sentinel-1 radar backscatter. ML namely support vector (SVM) with linear, polynomial, radial sigmoid kernel, random forest (RF), multi-layer perceptron (MLP), basis function (RBF), Wang Mendel’s (WM), subtract...

Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. ...

Data mining has become an essential component in various fields of human life including business, education, medical and scientific. Cluster analysis is an important data mining technique used to find data segmentation and pattern recognition. This paper proposes the application of Fuzzy Subtractive Clustering (FSC) technique as an approach to define Big Five Patterns (B5P) using psychometric t...

In the present study, we propose a novel clustering-based method for modeling accurate fuzzy rule-based classification systems. The new method is a combination of a data mapping method, subtractive clustering method and an efficient gradient descent algorithm. A data mapping method considers the intricate geometric relationships that may exist among the data and computes a new representation of...

To identify T-S models, this paper presents a so-called “subtractive fuzzy C-means clustering” approach, in which the results of subtractive clustering are applied to initialize clustering centers and the number of rules in order to perform adaptive clustering. This method not only regulates the division of fuzzy inference system input and output space and determines the relative member functio...

Unexpected disease outbreaks and disasters are becoming primary issues facing our world. The first points of contact either at the disaster scenes or emergency department exposed the frontline workers and medical physicians to the risk of infections. Therefore, there is a persuasive demand for the integration and exploitation of heterogeneous biomedical information to improve clinical practice,...

This paper presents an optimal load balancing algorithm based on both of the ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling and the FIS (Fuzzy Inference System) for the local status of real servers. It also shows the substantial benefits such as the removal of loadscheduling overhead, QoS (Quality of Service) provisioning and providing highly available servers, provided by the suggested...