Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Beytullah Eren"'
Autor:
İdris Cesur, Beytullah Eren
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 6, Iss 2, Pp 105-113 (2023)
Predicting engine efficiency for environmental sustainability is crucial in the automotive industry. Accurate estimation and optimization of engine efficiency aid in vehicle design decisions, fuel efficiency enhancement, and emission reduction. Tradi
Externí odkaz:
https://doaj.org/article/11849a5d3ae64ea6ad29c5a9371c7e3e
Publikováno v:
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 20, Iss 3, Pp 533-542 (2016)
Bu çalışmanın amacı, polimer içerikli membranlar (PIMs) ile Cr (VI) giderimi için geliştirilecek yapay sinir ağı (YSA) modelinde optimum YSA mimarisi için en uygun öğrenme algoritmasının belirlenmesidir. Bu amaçla, geliştirilen yapay
Externí odkaz:
https://doaj.org/article/d761cf3dddd74aa1b5420b5de2f10754
Publikováno v:
Chemical Engineering Communications. :1-8
Publikováno v:
Academic Perspective Procedia. 5:477-484
Publikováno v:
Journal of Polytechnic.
Dünyada ham petrolün azalması nedeniyle alternatif yakıt araştırmaları her geçen gün artmaktadır. Dizel motorlarda petrole alternatif yakıt kullanılmasının diğer bir amacıda çevreye daha az kirletici emisyon salmasıdır. Alternatif
Publikováno v:
Academic Perspective Procedia. 4:42-49
Resources like air and water are present in the Ecosystem for the benefit of biological life, but a slight disturbance in them results in catastrophic calamities; the flood is one of them. Floods are wrecking threats not only to the life of the indiv
Publikováno v:
Environmental pollution (Barking, Essex : 1987). 311
Studies have confirmed that PM
Publikováno v:
Water and Environment Journal. 35:1073-1084
This study predicts heavy metals removal from aqueous solution by polymer inclusion membranes (PIMs) process using machine learning (ML) techniques such as multiple layer perceptron neural networks (MLPNN) and multiple linear regression (MLR) after d
Publikováno v:
Urban Climate. 48:101418
Publikováno v:
Volume: 24, Issue: 4 712-724
Sakarya University Journal of Science
Sakarya University Journal of Science
The wide range of today's industry increases the diversity of pollutants in the wastewater characteristics. In particular, the wastewater of the textile industry is highly colored. Different techniques are used for color removal of dyes from wastewat