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Correct orientation of students during education is very crucial for preventing future failures. Students who cannot graduate at the time may cause negative impacts on the family and the country's economy as well as the decrease of the young labor force. This …

Multiple imputation (MI) is increasingly being used as a sophisticated tool to handle missing data in the recent years. The standard MI techniques use Bayesian sampling methods for making posterior draws for the imputations and analyse the imputed data sets un…

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 …

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…

The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

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…

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…

The updated structural discontinuities of Turkey are determined utilizing Bouguer gravity data in this study. Total horizontal gradient technique was used to reveal the lineaments. This technique is applied to first vertical derivative values of regional gra…

In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…

In recent years, nanofluids, the dispersion of nanoparticles with sizes less than 100 nm in base fluids, have been attracted the interest of many researchers due to their capability of enhancing thermophysical properties. In this review paper, experimental s…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible …

One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…

Artificial lighting is an important part of global electricity consumption. At office buildings, the energy consumed by artificial lighting can reach up to 40% of total energy consumption. This work is being done to find solutions to such problems with energy …

The health need is undoubtedly an indispensable necessity for human life. When the literature is examined, it is seen that various health monitoring systems are developed by helping to meet the health need with technological improvements. Some of these studies…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…