Electrocardiography is the gold standard technique for detecting abnormal heart conditions.
Automatic detection of electrocardiogram (ECG) abnormalities helps clinicians analyze the …

Electrocardiogram is the most commonly used tool for the diagnosis of cardiologic diseases.
In order to help cardiologists to diagnose the arrhythmias automatically, new methods for …

Purpose Autonomous obstacle avoidance is important in unmanned surface vehicle (USV)
navigation. Although the result of obstacle detection is often inaccurate because of the …

Blade design of the horizontal axis wind turbine (HAWT) is an important parameter that
determines the reliability and efficiency of a wind turbine. It is important to optimize the …

Automation in arrhythmia classification helps medical professionals to make accurate
decisions upon the patient's health. Classification becomes complicated when class …

People with chronic illnesses, such as cardiovascular disease, stroke, and diabetes, can be
continuously monitored with the help of remote patient monitoring (RPM) systems. The major …

In this study, Artificial Bee Colony (ABC) algorithm based classifier is used. Also, in order to
improve the effectiveness of ABC algorithm, some modifications are done. New method is …

Özet Elektrokardiyogram (EKG) işaretlerinin analizi, çeşitli kalp hastalıklarının teşhisinde
yaygın olarak kullanılmaktadır. Normalden farklı vurular olan aritmiler, ritm bozukluğu …