Search Results - "Gundogdu, Serdar"
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Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique
Published in Multimedia tools and applications (01-09-2023)“…Diabetes is one of the most common and serious diseases affecting human health. Early diagnosis and treatment are vital to prevent or delay complications…”
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Improving breast cancer prediction using a pattern recognition network with optimal feature subsets
Published in Croatian Medical Journal (01-10-2021)“…Aim To predict the presence of breast cancer by using a pattern recognition network with optimal features based on routine blood analysis parameters and…”
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Application of MLR-PRN model for estimation of arsenic concentration in drinking water: a case study for İzmir City
Published in Urban water journal (03-07-2022)“…Arsenic in drinking water can have serious adverse health effects depending on consumption. This study includes the comparison of two neural networks, Pattern…”
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Application of feed forward and cascade forward neural network models for prediction of hourly ambient air temperature based on MERRA-2 reanalysis data in a coastal area of Turkey
Published in Meteorology and atmospheric physics (01-10-2021)“…Air temperature forecasting has been a vital climatic factor required for different applications in many areas such as energy, industry, agriculture, health,…”
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Hepatitis C Disease Detection Based on PCA–SVM Model
Published in Hittite Journal of Science and Engineering (30-06-2022)“…Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases…”
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Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean
Published in Atmospheric environment (1994) (15-09-2021)“…Satellite-derived aerosol optical depth (AOD) products are widely used to estimate the spatial and temporal characteristics of ground-level particulate matters…”
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Multiple stones in a pediatric case of single-system ureterocele with vesicoureteral reflux
Published in Pediatric Urology Case Reports (01-05-2019)“…Presence of multiple calculi in a single system ureterocele is a rare condition. A 3-year-old boy presented with recurrent urinary tract infections in whom…”
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A data-driven approach for PM2.5 estimation in a metropolis: random forest modeling based on ERA5 reanalysis data
Published in Environmental Research Communications (01-03-2024)“…Air pollution in urban environments, particularly from fine particulate matter (PM2.5), poses significant health risks. Addressing this issue, the current…”
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E.M.I Effects of Cathodic Protection on Electromagnetic Flowmeters
Published in Sensors (Basel, Switzerland) (01-01-2007)“…Electromagnetic flowmeters are used to measure the speed of water flow in water distribution systems. Corrosion problem in metal pipelines can be solved by…”
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Assessment of mental fatigue and stress on electronic sport players with data fusion
Published in Medical & biological engineering & computing (01-09-2021)“…Stress and mental fatigue are in existence constantly in daily life, and decrease our productivity while performing our daily routines. The purpose of this…”
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Estimating daily PM2.5 concentrations using an extreme gradient boosting model based on VIIRS aerosol products over southeastern Europe
Published in Air quality, atmosphere and health (01-12-2022)“…The performance of aerosol optical depth (AOD) products from the visible infrared imaging radiometer suite (VIIRS) instrument to estimate ground-level PM 2.5…”
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Calibrating MERRA-2 PM2.5 concentrations with aerosol diagnostics: testing different machine learning approaches in the Eastern Mediterranean
Published in Air quality, atmosphere and health (01-12-2022)“…Estimating ground-level PM 2.5 concentrations by satellite-based aerosol optical depth (AOD) does not provide spatially and temporally continuous estimations…”
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Elevating Hourly PM 2.5 Forecasting in Istanbul, Türkiye: Leveraging ERA5 Reanalysis and Genetic Algorithms in a Comparative Machine Learning Model Analysis
Published in Chemosphere (Oxford) (13-08-2024)“…Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM predictions for effective…”
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Orta Çağ’da siyasi meşruiyet kaynağı olarak rüya
Published in Turcology Research (01-03-2021)“…Rüya, tarih boyunca insanların hayal ve gelecek için ümit ettikleri arzularının gerçekleştiği saha olarak karşımıza çıkmaktadır. Devletlerin var olmasıyla…”
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Elevating hourly PM2.5 forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis
Published in Chemosphere (Oxford) (01-09-2024)“…Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM2.5 predictions for effective…”
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Comparison of static MLP and dynamic NARX neural networks for forecasting of atmospheric PM10 and SO2 concentrations in an industrial site of Turkey
Published in Environmental forensics (07-11-2020)“…This study aims to compare performances of two static and one dynamic neural networks used for prediction of hourly ambient air quality concentrations in an…”
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Orta Çağ'da Siyasi Meşruiyet Kaynağı Olarak Rüya
Published in Journal of Turkish Research Institute (01-01-2021)Get full text
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A data-driven approach for PM 2.5 estimation in a metropolis: random forest modeling based on ERA5 reanalysis data
Published in Environmental Research Communications (01-03-2024)“…Air pollution in urban environments, particularly from fine particulate matter (PM 2.5 ), poses significant health risks. Addressing this issue, the current…”
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Karakoyunlular Akkoyunlular: İran ve Anadolu'da Türkmen hanedanları / Muhsin Behramnejad ; tercüme ve notlar, Serdar Gündoğdu, Ali İçer
Published 2019“…İki Türkmen Hanedanı: Karakoyunlular ve Akkoyunlular 14. yüzyıl ortalarına doğru İran ve Doğu Anadolu’nun doğusunda siyasi hayatına başlayan iki devlet:…”
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