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Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

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…

Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…

Carbides change highly effective on the mechanical and tribological properties of the coatings. For this reason, it is very important to determine the carbide ratio in the microstructure correctly. Researchers mostly try to determine phase ratios by optical im…

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…

Coastal boundaries are areas that undergo the most change in the world. These changes occur result of natural or human-induced events. Located west of Ceyhan River Ağyatan is a lagoon lake formed in the place where the Ceyhan river which constantly changes bed…

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

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…

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…

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 …

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

Human face detection one of the most important fields that attract searches since a long time ago until now because of the huge number of applications that benefit from face detection and recognition like crowd surveillance, Attendance System, ATM and other. I…

Kablosuz Sensör Ağları, sürekli olarak çevreden topladıkları bilgileri ana ana düğüme oradan da sunucu veya ana toplayıcıya göndermektedirler. Ağ yapısı büyüdükçe ağ içerisinde meydana gelen veri transferinin boyutu da ciddi artış göstermektedir. Eğer ağda res…

Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…

From the time that humans first started to live in a settled way, the effect of public places (as the common space for the people from every section of the community) on communications with their surroundings, and the need to meet the main requirements, have…

Bir kentsel mekan, farklı bireylerde farklı algılar uyandırmakta; zihinde oluşturulan mekansal imge, mekanı kullanan bireyin kentsel mekanda oluşturdu u anı e kişisel deneyimine ba lı olarak de işmektedir er birey, kentsel mekana ilişkin kendi imgesini yarat…

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…

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …