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Çalışma, kronik hastalığı olan bireylerde yeti yitimi ve günlük yaşam aktivitelerinin belirlenmesi amacıyla yapılmıştır. Bu çalışma, bir üniversite hastanesinin dahili kliniklerinde tedavi gören araştırma kriterlerine uyan 300 hasta üzerinde tanımlayıcı nite…

Due to the population growth, the use and management of natural resources has been one of the most important issues while ecological studies are gaining importance. In this context, the use and management of water which is the main source of life has had a maj…

Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

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…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

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…

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

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…

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…

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…

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…

Biomedical Sciences are the technological disciplines that aim to explore methods to obtain, produce, reveal or produce information related to understand, model, monitor, diagnose, combat problems in human and/or animal bodies. Machine learning in biomedical t…

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

To evaluate and compare choroidal thickness in patients with PPR (papulopustular rosacea) and healthy controls. Methods: In this prospective, cross-sectional study, thirty eyes of 30 patients with PPR and 30 eyes of 30 age- and sex-matched healthy subjects wer…

Survivin antiapoptotik bir proteindir. Embriyonik yaşamda ve birçok tümördeyüksek düzeyde eksprese olmasına rağmen normal dokularda bulunmaz. Meme kanseri kadınlarda en sık görülen malignitedir. Meme kanserinin standart  tedavisi kemoterapi, estrojen reseptörü…

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…

Hydrological drought is one of the most essential natural hazards attributing water scarcity and its global impact increases due to the climate change. In particular, the usage of climate models and rainfall-runoff models for projecting the severity of future …

Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…