Erişim "info:eu-repo/semantics/closedAccess" için İnşaat Mühendisliği Bölümü / Department of Civil Engineering listeleme
Toplam kayıt 34, listelenen: 1-20
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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 ... -
Assigning convenient paths by an approach of dynamic programming
(1st Mediterranean International Conference of Pure and Applied Mathematics and Related Areas 2018 (MICOPAM 2018), 2018)For many decades, mathematical models and methodologies have been essential in order to provide the understanding of countless engineering processes and technologies. Using mathematical models in many academic research, ... -
Chaos-based multigene genetic programming: a new hybrid strategy for river flow forecasting
(Elsevier, 2018)Chaos theory is integrated with Multi-Gene Genetic Programming (MGGP) engine as a new hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its performance is tested using daily historic flow ... -
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 ... -
Effects of pedestrian traffic changes due to COVID-19 pandemic: case study in Antalya, Turkey
(6th International New York Conference on Evolving Trends in Interdisciplinary Research & Practices, 2022) -
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, ... -
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 ... -
Establishment siting for equipment transportation against forest fires
(8th International Black Sea Applied Sciences Congress, 2022) -
Facility location determined by an iterative technique
(1st Mediterranean International Conference of Pure and Applied Mathematics and Related Areas 2018 (MICOPAM 2018), 2018)For many decades, mathematical models and methodologies have been essential in order to provide the understanding of countless engineering processes and technologies. Using mathematical models in many academic research, ... -
Failure mechanisms and cracking performance of T-shaped SCC beam-column connections at top floor: test results and FE modeling
(Structures, 2020)In recent decades, self-compacting concrete (SCC) has gradually gained popularity based on its unique workability without any internal and external vibration. SCC development must ensure an acceptable level of balance ... -
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) ... -
Genetic programming in water resources engineering: a state-of-the-art review
(Elsevier, 2018)The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and ... -
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 ... -
A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea
(Environmental Monitoring and Assessment, 2020)Location selection for offshore wind farms is a major challenge for renewable energy policy, marine spatial planning, and environmental conservation. This selection constitutes a multi-criteria decision-making problem, ... -
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 ... -
A hybrid of firefly and biogeography-based optimization algorithms for optimal design of steel frames
(Arabian Journal for Science and Engineering, 2020)The principle purpose of the current study is to hybridize firefly algorithm (FA) as a nature-inspired meta-heuristic developed based on the flashing patterns and biogeography-based optimization (BBO) to present a qualified ... -
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 ... -
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 ... -
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 ...