Food wastes disposed from residential and industrial kitchens have gained attention as a
substrate in microbial fermentations to reduce product costs. In this study, the potential of …

It is well known that use of low cost and abundant waste materials in microbial fermentations
can reduce product costs. Kitchen wastes disposed of in large amounts from cafeterias, …

Feature selection is one of the most important issues in the research fields such as system
modelling, data mining and pattern recognition. In this study, a new feature selection …

Background Consumption and production of olive oils have been increasing steadily
worldwide mainly due to proven health benefits and sensorial characteristics of olive oil. At the …

Fuzzy system modeling (FSM) is one of the most prominent tools that can be used to identify
the behavior of highly nonlinear systems with uncertainty. Conventional FSM techniques …

Clustering is one of the basic data mining tasks that can be used to extract hidden information
from data in the absence of target classes. One of the most well-known density based …

Fuzzy systems approximate highly nonlinear systems by means of fuzzy “if–then” rules. In
the literature, various algorithms are proposed for mining. These algorithms commonly utilize …

We consider a supply chain in which a manufacturer sells to a procure-to-stock retailer
facing a newsvendor problem with a forecast update. Under a wholesale price contract, the …

The work aimed to detect and quantify adulteration of fresh olive oils with old olive oils from
the previous harvest year by using different spectroscopic approaches in combination with …

It was aimed to predict fatty acid ethyl ester (FAEE), wax, diacylglycerol (DAG) and color
pigment contents of olive oils by using rapid and non-destructive spectroscopic techniques (…