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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…

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

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…

The monitoring of emissions caused by congested road traffic requires the deployment of a complex measurement system. The use of Wireless Sensor Networks (WSN) can be very useful. In this work we propose the architecture of sensors (devices) which are envisage…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

The soft approach stands for change in traffic policy and regulatory measures which calls for different organization and control of the traffic network. This paper shows examples of best practices which present the possibility of improvement and advancement of…

Exhaust gas distribution in street canyons is one of the important research subjects in urban air quality studies. Vehicle emissions are an important group of pollutants in urban areas. In this study, the dispersion of exhaust emissions from vehicles in canyon…

Urban illumination has great importance for reasons such as exhibiting the beauty of the city, facilitating night life, emphasizing important functional, aesthetic, historical and social spaces and works of art in terms of the city, besides the city's import…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

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…

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

The popularity of wireless communication is increasing day by day. This has led to the fact that data transfers via GSM have reached very high levels. Data transfers via GSM, which are continuously growing, increase the density of data traffic, thus necessitat…

Understanding pedestrian perception is essential for designing walkable and inclusive urban environments. This study employs real-world eye-tracking to investigate how pedestrians visually engage with urban streetscapes during everyday navigation. Using wearab…

There is a global high demand for creating smart cities due to the increasing population of the world and lack of natural resources. There are six stated criteria in order to be eligible to become a smart city, which are directly related to governance, economy…

This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…

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…

Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it is inevitable that el…

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…