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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…

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…

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…

Fotovoltaik (FV) sistemler birkaç W’dan, MW’a kadar ölçeklendirilebilmesi gibi özelliklerinden dolayı en çok yaygınlaşan yenilenebilir enerji kaynağı türüdür. Bu enerji kaynağından en yüksek oranda yararlanılabilmesi maksimum güç noktasını izleyen (MPPT) dönüş…

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…

Open-finance services must prepare for cryptographic transitions while evaluating quantum-computing opportunities against classical alternatives. These decisions require different evidence but concern shared data, software, suppliers, and owners. This paper de…

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…

In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

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…

A novel continues plasma reactor with rotating electrodes was designed and constructed to investigate methane decomposition to hydrogen and solid carbon. This new reactor structure causes stable operation. Hydrogen is main part of gaseous products which cont…

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

Grinding of brittle material such as glass is becoming crucial in consequence of rapid growth in the area of white goods. Industrial area, during flat glass processing iron based diamond wheels can be selected in order to improve the service life of the grindi…

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…

Over the years, developments in the world of science and technology have emerged. Developments in image classification methods can also be evaluated in this context. Nowadays, the use of image classification methods for extracting information from data obtaine…

Günümüzde, birçok araştırmacı optimizasyon problemleri çözen algoritmaları geliştirme eğilimindedir. Gerçek dünya problemleri ise genelde birden çok amaca sahip oldukları için çok amaçlı optimizasyon problemleri üzerine geliştirilen algoritmalar trend olmuştur…

Gelişen bilgisayar ve iletişim teknolojileri sonucunda güvenlik önemli bir konu haline gelmiştir. Güvenlik açıkları yetkilendirme, veri bütünlüğü sağlama, ağ güvenliği gibi sistemin çalışmasında etkili kısım veya kısımlarda olabilmektedir. Bir sistemin güven…

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

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…