Ç. Teke

发表

A Fuzzy Expert System for Risk Self-Assessment of Chronic Diseases

E. Erkan, Ç. Teke, D. Güleryüz, 2016 .

A novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal process

M. Uçurum, Ç. Teke, Akın Özdemir, 2021 .

PREDICTION OF CRITICAL FRACTION OF SOLID IN LOW PRESSURE DIE CASTING OF ALUMINUM ALLOYS USING ARTIFICIAL NEURAL NETWORK

Alper Kiraz, Mumtaz Ipek, M. Çolak, 2019, Scientia Iranica.

Modeling of the Impact of Initial Mold Temperature, Al5Ti1B and Al10Sr Additions on the Critical Fraction of Solid in Die Casting of Aluminum Alloys using Fuzzy Expert System

M. Çolak, M. Ipek, Ç. Teke, 2019, Acta Physica Polonica A.

Determination of Investment Priority Sectors of Sakarya Province Using Fuzzy AHP and Fuzzy TOPSIS Methods

Alper Kiraz, Ç. Teke, M. Taş, 2018 .

Prediction of gamma ray spectrum for 22Na source by feed forward back propagation ANN model

I. Akkurt, I. Ekmekci, Ç. Teke, 2022, Radiation Physics and Chemistry.

Modeling design parameters with Taguchi experimental method for obtaining operating conditions for Cu(II) removal through adsorption process

Ç. Teke, Akın Özdemir, 2019 .

Optimization of Adsorption Parameters for Ultra-Fine Calcite Using a Box-Behnken Experimental Design

M. Uçurum, Ç. Teke, Akın Özdemir, 2018, Open Chemistry.

Determination of flow distance of the fluid metal due to fluidity in ductile iron casting by artificial neural networks approach

Ç. Teke, 2022, Open Chemistry.

A novel approach to finding optimum operating conditions of design factors for the grinding experiment

Akın Özdemir, İlker Tekin, Metin Uçurum, 2019, Particulate Science and Technology.