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Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel hareketlerine ek olarak…

Partikül takviyeli ve/veya dolgulu kompozit malzemeler üzerinde birçok çalışma yapılmıştır. Kompozit malzemelerde takviye edici olarak Al2O3 partikülleri sıklıkla kullanılmaktadır. Bu çalışmada Al2O3 ile beraber kömürün yanması sonucu yan ürün olarak elde ed…

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

Kablosuz ağlar, veri sinyallerinin havadan iletildiği, kablo kullanmadan uzak mesafeler arasında iletişimi sağlayabilen teknolojilerdir. Kablosuz ağlarda veri, radyo frekansları veya kızılötesi ışınlar vasıtasıyla iletilir. Bu ağlardaki kullanıcılar arasında h…

In this study, the accelerations caused by the diaphragm movements during respiration were monitored with a 3-axis accelerometer and the measured accelerations were recorded on an SD card. A measurement system for this purpose was developed. The moments in whi…

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…

Nowadays, competition in industrial production has come to the top with technological improvements. In this competitive environment, producers need better quality, faster and less costly production methods. So, the use of industrial robotic systems is becoming…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Heritage restoration projects face numerous challenges, including the preservation of historical accuracy, effective stakeholder collaboration, and maintaining transparent records of interventions. This paper proposes a theoretical framework that integrates Bu…

This paper examines the development of sustainable architectural design strategies in office buildings from 1970 to the present. Drawing on literature, policies, and historical examples, it traces the transformation of sustainability from a loosely defined env…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

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…

Development of semiconductor technology, the introduction of computers, smart devices and many household appliances into our lives, especially in the last 20 years, the increase in interest in renewable energy sources, the density of the population in the grid…

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…

This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…