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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…

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…

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 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…

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…

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…

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…

Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…

Günümüzde birçok alanda kullanılan Kablosuz Algılayıcı Ağlar genellikle açık alan uygulamalarında kullanıldıkları için dışarıdan gelen farklı saldırılara karşı korumasız durumda olabilirler. Ağı saldırılara karşı korumak ve verilerin güvenliğini sağlamak, Kabl…

 Developments in economic and technological fields have led to the development of new production systems in manufacturing technology. It is argued that the traditional costing techniques applied by many enterprises today are not compatible with new production …

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

Hastaneler yüksek maliyetlere ve belirsizliklere sahip; aynı zamanda sınırlı kaynaklarla mümkün olan en kaliteli hizmeti sağlama amacıyla yönetilen sistemlerdir. Ameliyathaneler de bu sistemin en önemli gelir ve gider kaynağını oluşturmaktadır. Ameliyathane çi…

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

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…