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Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

Uyku bozuklukları toplumda yaygın olarak görülen bir halk sağlığı sorunudur. Uyku; zaman, ışık, beslenme gibi birçok çevresel faktörden etkilenen 24 saatte bir tekrar eden sirkadiyen ritmin önemli bir parçasıdır. Uyku bozuklukları; İnsomnia [kronik uykusuzluk]…

In this study, we aimed to investigate the effect of the anxiety on blood pressure and heart rate in periexam period. For this purpose, 83 paramedic first class students (19.2±1.0 year old) were included. The blood pressure and heart rate were measured in the …

Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…

Bu araştırma Koroner Arter Hastalığı(KAH) olan bireylerde yorgunluk ve uyku kalitesinin değerlendirilmesi amacıyla yapılmıştır. Araştırma, bir üniversite hastanesinin kardiyoloji kliniğinde Haziran-Eylül 2019 tarihleri arasında yapılmıştır. Araştırmada örnekle…

We have designed a portable low-cost stethoscope with software tools. It is aimed to pre-diagnose heart diseases in a short time without exposing the patient to detailed examinations and additional procedures such as electro-cardiography (ECG) or angiography. …

Neurodegenerative diseases (NDD) are a group of diseases characterized by progressive loss of neuron function and structural deterioration. This may be due to damage at birth, as well as by the effect of genetic factors and aging, or as a combination of these.…

Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…

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…

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

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…

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

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 uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

Network security is becoming more and more important as a result of the growing use of the internet and technological developments. Intrusion Detection Systems (IDS) are utilized to detect attacks, preferably by monitoring real-time events. Therefore, they hol…

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…

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…

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…

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

In this study, we aimed to determine the incidence of retinopathy of prematurity (ROP) and the risk factors especially gestational age (GA) and birth weight (BW) associated with its development. Three hundred eighty-two consecutive infants were included in the…