User profiles for I. Yilmaz

Isik Yilmaz

- Verified email at cumhuriyet.edu.tr - Cited by 7408

İlker YILMAZ

- Verified email at gazi.edu.tr - Cited by 2044

Ismail Omer Yilmaz

- Verified email at metu.edu.tr - Cited by 1895

Epithelial barrier hypothesis: effect of the external exposome on the microbiome and epithelial barriers in allergic disease

…, S Altiner, U Ozbey, I Ogulur, Y Mitamura, I Yilmaz… - Allergy, 2022 - Wiley Online Library
Environmental exposure plays a major role in the development of allergic diseases. The
exposome can be classified into internal (eg, aging, hormones, and metabolic processes), …

Modeling, simulation and performance analysis of parabolic trough solar collectors: A comprehensive review

İH Yılmaz, A Mwesigye - Applied energy, 2018 - Elsevier
Solar thermal systems are advantageous since it is easier to store heat than electricity on a
large scale. As such, concentrated solar power is receiving considerable interest among …

Short-term sea-level changes in a greenhouse world—A view from the Cretaceous

…, X Hu, I Wendler, E Wolfgring, Yilmaz… - Palaeogeography …, 2016 - Elsevier
This review provides a synopsis of ongoing research and our understanding of the
fundamentals of sea-level change today and in the geologic record, especially as illustrated by …

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat …

I Yilmaz - Computers & Geosciences, 2009 - Elsevier
The purpose of this study is to compare the landslide susceptibility mapping methods of
frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the Kat …

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and …

I Yilmaz - Environmental Earth Sciences, 2010 - Springer
This case study presented herein compares the GIS-based landslide susceptibility mapping
methods such as conditional probability (CP), logistic regression (LR), artificial neural …

Laminar-burning velocities of hydrogen–air and hydrogen–methane–air mixtures: An experimental study

M Ilbas, AP Crayford, I Yılmaz, PJ Bowen… - International Journal of …, 2006 - Elsevier
The laminar burning velocities of hydrogen–air and hydrogen–methane–air mixtures are
very important in designing and predicting the progress of combustion and performance of …

Study on steel furnace slags with high MgO as additive in Portland cement

IA Altun, İ Yılmaz - Cement and Concrete Research, 2002 - Elsevier
In this study, usability of Basic Oxygen Process (BOP) slags of Kardemir Iron and Steel Plant,
Karabük, Turkey as an additive into cement was investigated. Slags were ground to 4000 …

Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils

I Yilmaz, O Kaynar - Expert systems with applications, 2011 - Elsevier
In the recent years, new techniques such as; artificial neural networks and fuzzy inference
systems were employed for developing of the predictive models to estimate the needed …

An example of artificial neural network (ANN) application for indirect estimation of rock parameters

I Yilmaz, AG Yuksek - Rock Mechanics and Rock Engineering, 2008 - search.proquest.com
Construction of an artificial neural network model for predicting the modulus of elasticity and
unconned compressive strength is presented. Among other things, data found that the …

An analysis of energy use and input costs for cotton production in Turkey

I Yilmaz, H Akcaoz, B Ozkan - Renewable Energy, 2005 - Elsevier
The aim of this study was to determine direct input energy and indirect energy in per hectare
in cotton production and compare with input costs. The study also sought to analyse the …