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This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technology. Despite its prove…

Bir şehrin gece manzarası, o şehrin gece boyunca yeniden tanıtılması olarak değerlendirilebilmektedir. Hatta  kimi zaman gece manzarası insanların şehir hakkındaki düşünceleri üzerinde daha fazla etki bırakabilmektedir. Karanlık bir manzara deneyimi fikri, yum…

Here we discussed the electrical performance of Photovoltaic (PV) panels of natural dust accumulation by wind, bird droppings etc., over time which is of great importance especially for the areas where the rain density are high [1, 2]. In this study, the eff…

This study presents a comparative analysis of post-earthquake recovery governance in Türkiye and Japan, focusing on the 1999 Kocaeli, 2011 Tōhoku, and 2023 Kahramanmaraş earthquakes. Employing qualitative document analysis and cross-case timeline mapping, it e…

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of s…

Fosil bazlı yakıtların giderek ömrünü tamamladığı dünyamızda alternatif enerji kaynaklarının önemi hızla artmaktadır. Bir alternatif enerji şekli olan rüzgar enerjisinde, rüzgar türbinleri kurulu olduğu alanın sadece %1’ini işgal etmesi ve kurulduğu kırsal ala…

This study was compiled from the results of various researches performed on using diethyl ether as a fuel or fuel additive in diesel engines. Three different techniques are used the reduction of the harmful exhaust emissions of diesel engines. The first tech…

This study was compiled from the results of various researches performed on using diethyl ether as a fuel or fuel additive in diesel engines. Three different techniques are used the reduction of the harmful exhaust emissions of diesel engines. The first techni…

Many situations in human life are described with uncertain narratives. The fuzzy set theory has revealed as a powerful tool to deal with the uncertainty of human thoughts and expressions, by Azerbaijani Prof. Dr. Lotfi A. Zadeh in 1965. In the classical cluste…

Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …

Post-quantum cryptographic standardization is complete for the algorithms that matter most, yet adoption across financial infrastructure remains uneven and, in critical segments, largely absent. This paper argues that migration is no longer a research question…

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Turkey is not possible in the existing forest roads with very little of the superstructure and the remaining majority uncoated and transport of wood raw material in an expeditious manner in all seasons due to the unfounded nature of the soil in the road. For t…

Wireless sensor network (WSN) is a distributed system usually comprising a set of autonomous sensors nodes. These sensors are physically small in size and are capable to communicate with each other and capable of conveying data to recipients. In a large number…

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

Scheduling is the allocation of resources to tasks (eg. machines to jobs) in order to ensure the completion of these tasks in a reasonable amount of time. Fuzzy logic is applied to the scheduling problems for the cases where the time parameters like processing…