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Energy demand forecasting using deep learning
(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 ...
Ensemble gene expression programming: a new approach for evolution of parsimonious streamflow forecasting model
(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 ...
On the seismic collapse capacity of optimally designed steel braced frames
(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 ...
Prediction of the spatiotemporal dynamics of von Kármán Vortices by ANFIS
(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 ...
A GIS‑based multi‑criteria evaluation for MSW landfill site selection in Antalya, Burdur, Isparta planning zone in Turkey
(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 ...
Transportation detouring and facility location optimization after the flood in the Black Sea Region
(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 ...
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
(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 ...
Hydraulic and strength characteristics of pervious concrete containing a high volume of construction and demolition waste as aggregates
(Construction and Building Materials, 2020)
Recently, construction and demolition waste generated in Malaysia has dramatically increased. For long-term sustainable development, demolition wastes can be recycled in concrete production. Recycled concrete aggregate ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)
It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ...
Transportation based assessment of self-healing material choice
(III. International Urban Research Congress, UKASS 2022, 2022)