Abdil ÖZDEMİR, Beytullah EREN, Bediha OYAR

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

2020-Cilt: 24 - Sayı: 4

712-724

2013

Benzer Makaleler

Prioritizing the Factors for Customer-Oriented New Product Design in Industry 4.0

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Melike ERDOĞAN, Özge Nalan BİLİŞİK

A Case Study on Two-Span Post-Tensioned Concrete Bridge Decks with Different Span Lengths and Investigation on Prestressing Tendons with Comparisons

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Mustafa Turan

The Effect of Thickness on Photocatalytic Performance in MgZnO Thin Films

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Mehmet KURU

Optimization of Back-Surface Field for Crystalline Silicon Solar Cells and Estimating the Firing Temperature depending on the Amount of Printed Aluminum

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Abdullah ÜZÜM, İmran KANMAZ

Deep Learning Based Automatic Speech Recognition for Turkish

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Burak TOMBALOĞLU, Hamit ERDEM

A DLP Module Design Based on Plug-in for MS Word

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Hussein AL-SANABANI, Murat İSKEFİYELİ

Structural, Microstructural and Electrochemical Characterization of Ni-YSZ Anodes Fabricated from Pechini-Derived Composite Powders

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Aligül BÜYÜKAKSOY, Buse BİLBEY, Gamze EROL

Dynamic Response of an Euler-Bernoulli Beam Coupled with a Tuned Mass Damper under Moving Load Excitation

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Mehmet Akif KOÇ