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Toplam kayıt 98, listelenen: 1-10
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 ...
A hybrid support vector regression-firefly model for monthly rainfall forecasting
(Springer Berlin Heidelberg, 2019)
Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid ...
Seismic retrofit of full-scale substandard extended rectangular RC columns through CFRP jacketing: test results and design recommendations
(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 ...
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 ...
Pythagorean fuzzy based AHP-VIKOR integration to assess rail transportation systems in Turkey
(Springer, 2023)
Rail transit systems, one of the important public
transportation (PT) systems, are widespread in large cities
to satisfy passengers or commuters for their daily trips.
However, rail transportation (RT) investments are ...
Streamflow and sediment load prediction using linear genetic programming
(Uludağ University Journal of The Faculty of Engineering, 2018)
Daily flow and suspended sediment discharge are two major hydrological variables that affect rivers’ morphology and ecosystem, particularly during flood events. Artificial neural networks (ANNs) have been successfully used ...
Metaheuristic algorithms and multi-criteria decision-making for urban public transportation systems in developing tourism environment
(All Sciences Academy, 2024)
A number of structures, including public transportation (PT) structures and facilities, have been built in the large cities in order to protect and develop tourism. The importance of them is recognized day-to-day and the ...
Havalimanlarında kalkış öncesi, acil durumlarda, yardım alınabilecek en uygun lokasyonun Weber problemine uyarlanarak belirlenmesi
(Türk Coğrafya Dergisi, 2018)
Türkiye’de son yıllarda sivil havacılık hızlı bir şekilde gelişmiştir ve bu ivme artarak devam etmektedir. Tüm dünyada ve ülkemizde hızla büyüyen sivil havacılık sektörü ve işletmeciliği hemen hemen herkesin kullanımına ...
Sensitivity of Standardized Precipitation and Evapotranspiration Index (SPEI) to the choice of SPEI probability distribution and evapotranspiration method
(Elsevier, 2024)
The standardized precipitation evapotranspiration index (SPEI) is a widely used meteorological drought index that incorporates potential evapotranspiration (PET) into a precipitation-based index. However, the understanding ...
Drones Path Planning for Collaborative Data Collection in ITS
(CRC Press, Taylor & Francis Group, 2019)
Unmanned aerial vehicles (UAVs) are used to physically interact with humans and urgent data collection in a shared workspace. They are flying collaborative robots that can be remotely supervised through a software-controlled ...
