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Prediction of the spatiotemporal dynamics of von Kármán Vortices by ANFIS 

Bayındır, Cihan; Akdemir, Halid (Springer, 2022)
Wakes and vortices are commonly observed in fluid flows around bluff bodies, a phenomenon which is called vortex shedding. Such vortices are named as von Kármán vortices since their first investigation is performed by the ...
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Seismic retrofit of full-scale substandard extended rectangular RC columns through CFRP jacketing: test results and design recommendations 

Farrokh Ghatte, Hamid; Comert, Mustafa; Demir, Cem; Akbaba, Mustafa; Ilki, Alper (Journal of Composites for Construction, 2019)
Brittle behavior of substandard columns during earthquakes is among the most common reasons of structural failures. Because capacity design principles and ductile detailing concepts have not been properly adopted during ...
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Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite 

Shahmansouria, Amir Ali; Yazdani, Maziar; Ghanbari, Saeed; Akbarzadeh Bengar, Habib; Jafari, Abouzar; Farrokh Ghatte, Hamid (Journal of Cleaner Production, 2020)
The growing concern about global climate change and its adverse impacts on societies is putting severe pressure on the construction industry as one of the largest producers of greenhouse gases. Given the environmental ...
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On the seismic collapse capacity of optimally designed steel braced frames 

Gholizadeh, Saeed; Hassanzadeh, Aydin; Milany, Arman; Farrokh Ghatte, Hamid (Engineering with Computers, 2020)
The main purpose of this study is to respond to an important question in the field of structural engineering: is the seismic collapse capacity of optimally designed concentrically steel braced frames acceptable or not? The ...
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A GIS‑based multi‑criteria evaluation for MSW landfill site selection in Antalya, Burdur, Isparta planning zone in Turkey 

Tercan, Emre; Dereli, Mehmet Ali; Tapkın, Serkan (Environmental Earth Sciences, 2020)
Defining the suitable positions for landfill sites on a regional scale is a decision-making procedure based on a number of criteria. In this study, geographic information system analysis and multi criteria decision making ...
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Transportation detouring and facility location optimization after the flood in the Black Sea Region 

Demir, Emre; Bulut, Beyza (International Scientific Conference on Aeronautics, Automotive and Railway Engineering and Technologies, 2022)
This study contains the solutions for detouring after the flood in the Black Sea Region in Turkey back in the summer of 2021. Moreover, it proposes an emergency support facility location in the vicinity of the disaster ...
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Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure 

Nourani, Vahid; Ghasemzade, Mahsa; Danandeh Mehr, Ali; Sharghi, Elnaz (IWA Publishing, 2019)
In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ...
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Energy demand forecasting using deep learning 

Hrnjica, Bahrudin; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
Our cities face non-stop growth in population and infrastructures and require more energy every day. Energy management is the key success for the smart cities concept since electricity is one of the essential resources ...
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Ensemble gene expression programming: a new approach for evolution of parsimonious streamflow forecasting model 

Rahmani-Rezaeieh, Aidin; Mohammadi, Mirali; Danandeh Mehr, Ali (Springer-Verlag, 2019)
A precise forecast of streamflow in intermittent rivers is of major difficulties and challenges in watershed management, particularly in arid and semiarid regions. The present research study introduces an ensemble gene ...
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A genetic programming approach to forecast daily electricity demand 

Danandeh Mehr, Ali; Bagheri, Farzaneh; Reşatoğlu, Rifat (Springer Nature Switzerland AG, 2019)
A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...
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AuthorDanandeh Mehr, Ali (13)Demir, Emre (11)Nourani, Vahid (7)Farrokh Ghatte, Hamid (5)Tapkın, Serkan (4)Abutaha, Fuad (3)Akdemir, Halid (3)Bayındır, Cihan (3)Tercan, Emre (3)Ak, Muhammet Fatih (2)... View MoreSubjectTransportation (6)Multigen genetik programlama (4)Multigene genetic programming (4)Genetic programming (3)Optimizasyon (3)Optimization (3)Taşımacılık (3)Firefly algorithm (2)Genetik programlama (2)Mekansal analiz (2)... View MoreDate Issued2020 (11)2019 (10)2022 (10)2018 (8)2021 (2)Has File(s)
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