Detaylı Arama
İptal
Bulunan: 5 Adet 0.001 sn
- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır.
- İptal tuşuna basarak normal aramaya dönebilirsiniz.
Filtreler
Filtreler
Bulunan: 5 Adet 0.001 sn
Konu Başlıkları : Turkey ✕Yazar/lar : DEMİR, Vahdettin ✕
Koleksiyon [3]
İlgili Araştırmacılar [6]
Ambargo Durumu [1]
Tam Metin [1]
Yayın Türü [2]
Yazar/lar [6]
Atıf Dizini [3]
Konu Başlıkları [16]
Yayıncı [5]
Yayın Tarihi [3]
Yayın Dili [1]
Erişime Açık

Forecasting of solar radiation using different machine learning approaches

DEMİR, Vahdettin | ÇITAKOĞLU, Hatice

In this study, monthly solar radiation (SR) estimation was performed using five different machine learning-based approaches. The models used are support vector machine regression (SVMR), long short-term memory (LSTM), Gaussian process regression (GPR), extreme learning machines (ELM) and K-nearest neighbors (KNN). Modeling of these approaches was carried out in two stages. In the first stage, VIF analysis was carried out to develop the model. Thus, the input parameters that decrease the performance of the model are removed. In the second stage, remaining input parameters such as meteorological ...Daha fazlası

Makale 2022 Neural Computing and Applications 6 Görüntülenme
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Numerical modeling of Samsun Mert River floods

ÜLKE, Aslı | BEDEN, Neslihan | DEMİR, Vahdettin | MENEK, Necati

Floods are considered one of the most important natural disasters after earthquakes in Turkey. As a result, there is currently great public interest in this issue and it is necessary to intensify research activities in order to understand natural disasters better and to reinforce risk management. The effect of climate change on meteorological events causes an increase in extreme events such as excessive precipitation in some regions. An extreme natural event becomes a disaster when it has a large impact on human settlements and activities. Study area Samsun city is placed in the north of Turke ...Daha fazlası

Makale 2017 European Water 4 Görüntülenme
Erişime Açık

Flood Modeling of Samsun/Atakum Region by GIS Tools

BEDEN, Neslihan | DEMİR, Vahdettin | ÜLKE KESKİN, Aslı

Study area Samsun/Atakum province is almost under threat of flooding in each year. In this region, the main reason of devastating flood is the influence of the Degirmen stream especially during March, April, and July and due to seasonal rainfall, which eventually makes the district vulnerable to flooding. In addition, the human-based constructions and the collapse of water retaining structures are among the main causes of flooding. In this study flood risks of Samsun Degirmen stream determinate by MIKE 11 and GIS. Numerical model selection for studies provides advantages in developing and chan ...Daha fazlası

Makale 2018 JOURNAL OF NEW RESULTS IN SCIENCE (JNRS) 2 Görüntülenme
Erişime Açık

Flood Modeling by GIS Tools

BEDEN, Neslihan | DEMİR, Vahdettin | ÜLKE, Aslı

In this study flood risks of Samsun Degirmen stream determinate by MIKE 11 and GIS. In this study, MIKE powered by DHI software used for numerical 1D modeling of study area. The hydrological and hydraulic data for the study area were obtained from the Turkish General Directorate of State Hydraulic Works. ArcGIS program was used for creating a triangulated irregular network data (TIN). The flood inundation maps demonstrated that some areas, from the upstream to downstream of the Degirmen stream basin is affected from 100 year and 500 year return period events.

Konferans Bildirisi 2017 International Symposium on Multidisciplinary Studies and Innovative Technologies 4 Görüntülenme
Erişime Açık

Developing numerical equality to regional intensity–duration–frequency curves using evolutionary algorithms and multi‑gene genetic programming

ÇITAKOĞLU, Hatice | DEMİR, Vahdettin

This study aims to carry out regional intensity−duration−frequency (IDF) equality using the relationship with IDF obtained from point frequency analysis. Eleven empirical equations used in the literature for seven climate regions of Turkey were calibrated using particle swarm optimization (PSO) and genetic algorithm (GA) optimization techniques and the obtained results were compared. In addition, in this study, new regional IDF equations were obtained for each region utilizing MultiGene Genetic Programming (MGGP) method. Finally, Kruskal–Wallis (KW) test was applied to the IDF values obtained ...Daha fazlası

Makale 2022 Acta Geophysica 6 Görüntülenme
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