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The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

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…

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…

Interior lighting profoundly affects health, perception, and comfort. This study investigates key lighting parameters—intensity, spectrum, exposure timing, and spatial layout—and their physiological and psychological effects. Based on scenario simulations, thi…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…

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…

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

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…

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

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…

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…

Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered breathing have different sleep quality parameters such as cyclic alternating pattern phases and A subtype phases. This study aims to analyze and predict the A phase subtypes from…

In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

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…

Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…

The utilization of renewable energy sources is being enlarged daily to meet the escalating energy needs around the world. Solar energy, like other renewable energy sources, occupies an important place in the energy generation sector. Since it is important to i…

Although numerous amounts of research have been done to find alternate sources of energy consumption and its applications. But in times of energy crisis and global warming urgency, it is needed to pace towards methods of less dependency on fossil fuels in the …