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 (...

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...

In the process of recycling, dismantling, and reusing household appliances, implementing extended producer responsibility (EPR) has become increasingly important. Designing a reasonable pricing mechanism for waste appliance recycling is critical implementation EPR. To address problem labor-intensive experience-dependent traditional manual methods assessing value in this paper, we propose an eva...

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...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

Electrical load forecasting is well-known as one of the most important challenges in the management of electrical supply and demand and has been studied extensively. Electrical load forecasting is conducted at different time scales from short-term, medium-term and long-term load forecasting. Adaptive neuro-fuzzy inference system is a model that combines fuzzy logic and adaptive neuro system and...

The present work demonstrates the design and simulation of a fuzzy control of an air conditioning system at different pressures. The first order Sugeno fuzzy inference system is utilized to model the system and create the controller. In addition, an estimation of the heat transfer rate and water mass flow rate injection into or withdraw from the air conditioning system is determined by the fuzz...