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…
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345 results for “real-time computing”
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…
AFAD Logistics warehouses, stocked by the Red Crescent in Turkey in diameter will be needed after a possible earthquake in Istanbul on the amount of temporary sheltering units were established considering the amount of material inside the tent and the tent. It…
With today's developing technology, learning applications reach more people within shorter time. This development of technology closely affects mobile technology. These developments in mobile technology are applied to make learning more effective. Mobile learn…
This study presents the investigation of thorium utilization in an ADS with Lead-Bismuth Eutectic (LBE) target. To effectively burn thorium, the ThO2 fuel rods cylindrically prepared, and cladded with SiC, are mixed with 233UO2 at volumetric ratio of 1%. These…
This paper explores the role of archival study in exploring site integrity within the Historic Urban Landscape (HUL) framework, using the case of Islamic heritage sites in Java, Indonesia. In contexts where material traces have been lost or obscured, archival …
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
The act of engaging in architectural 'reading' entails the discernment of constructed realities within the context of the built environment. The newly introduced dance studio, Sandi Simon Center for Dance, has chosen to be read in architectural dimensions to r…
The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …
The rapid urbanization and exponential growth in vehicle numbers have significantly increased the demand for parking spaces in metropolitan areas, creating challenges for drivers and urban planners alike. Effective detection of available parking spaces is cruc…
In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…
A total of 70 fish samples were randomly purchased from different butchers and supermarkets brands in Samsun Province, Turkey in 2018, and analysed for present of Pseudomonas (P.) aeruginosa. For that purpose, P. aeruginosa isolation was carried out in conven…
In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …
In architectural schools, mediums of teaching vary from conventional theoretical classes to creative design studios. Lately, it has become popular to include demonstrative activities or design and build workshops out off the school environment. In addition to …