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Toplam kayıt 55, 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 ...
Büyükşehirlerde alışveriş merkezi otopark girişi uygulaması: Antalya örneği
(3. Uluslararası Akademik Araştırmalar Kongresi, 2020)
Nüfus artışı ile birlikte günlük yaşantımızda, özellikle trafik sistemlerinde, servis sistemlerinin yetersizliği doğrultusunda bekleme sorunları ile sık sık karşılaşılmaktadır. Bu sorunların önüne geçmek için trafik ...
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 ...
Cyprus water supply project: features and outcomes
(13th International Congress on Advances in Civil Engineering, 2018)
Cyprus Island has very limited water resources. Recently, this problem has rather been resolved by transferring water from Turkey to the island known as Cyprus Water Supply Project (CWSP). The CWSP is comprised of three ...
A genetic programming approach to forecast daily electricity demand
(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) ...
A novel fuzzy random forest model for meteorological drought classification and prediction in ungauged catchments
(Pure and Applied Geophysics, 2020)
This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ...
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 ...
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 ...
Evaluation of reinforcing bars ratio effects on SCC beam-column joint performance
(Uludağ University Journal of The Faculty of Engineering, 2019)
Beam-column joints require a high ductility during the unexpected loadings that necessitate the need for ductile concrete in such unprotected locations. Alternatively, self-compacting concrete (SCC) is a sort of concrete ...
Relationship between traffic density and pavement deflections
(Université d'Evry / Université Paris-Saclay, 2019)
Traffic density is one of the most important parameters to consider in road
construction. The presence of different components in road construction makes it essential to know the individual layer and inter-layer behaviors. ...