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Now showing items 11-20 of 42
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
(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, ...
Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey
(Springer Nature, 2020)
The motivation of this research, development, demonstration, deployment, and diffusion (RD3 &D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support ...
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 ...
Danger level ranking of possible dam failures in Turkey by grey relational analysis
(Springer, 2022)
Although dam failures are not very common in the course of engineering history, they can be catastrophic disasters causing many life losses, so they need to be investigated. Dam failures are difficult problems to analyze ...
An improved gene expression programming model for streamflow forecasting in intermittent streams
(Elsevier, 2018)
Skilful forecasting of monthly streamflow in intermittent rivers is a challenging task in stochastic hydrology. In this study, genetic algorithm (GA) was combined with gene expression programming (GEP) as a new hybrid model ...
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
Transportation based assessment of self-healing material choice
(III. International Urban Research Congress, UKASS 2022, 2022)
Pareto-optimal MPSA-MGGP: a new gene-annealing model for monthly rainfall forecasting
(Elsevier, 2019)
Rainfall is considered the hardest weather variable to forecast, and its cause-effect relationships often cannot be expressed in simple or complex mathematical forms. This study introduces a novel hybrid model to month ...
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 ...