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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…

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

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…

Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…

Hardox çelikler mükemmel aşınma direncine sahip, ultra yüksek mukavemetli, kayma ve darbe aşınmasına karşı dayanıklı martensitik çeliklerdir. Madencilik ve inşaat mühendisliği endüstrisinde ağır makineler ana uygulama alanıdır. Bu çalışmada, Hardox 400 çeliğ…

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

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…

In this study, freeze drying (FD) technology, which is used commonly to preserve the beneficial aromas of the products by prolonging the shelf life and therefore shown as the healthiest drying method. Bananas were used as the dried product that consumes a lot …

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant…

Instantaneous estimation of the frequency of a real sinusoid in noise from a small number of data samples is an important problem in the signal processing area. Several frequency estimators are proposed for this problem in the literature. In this paper, some o…

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,…

Multi-seeded YBCO superconductors (cylindrical size) 32 mm in diameter were fabricated by top-seeded melt growth (TSMG). Melt-processing was performed using a precursor containing 75 wt % of Y123 and 25 wt % of Y211 with 0.5 wt % of CeO2. Trapped magnetic fi…

Scheduling is the allocation of resources to tasks (eg. machines to jobs) in order to ensure the completion of these tasks in a reasonable amount of time. Fuzzy logic is applied to the scheduling problems for the cases where the time parameters like processing…

One of the materials that are increasingly used today in various engineering applications is boron steels. Though boron steels draw attentions with their superior wear characteristics, studies on the tribological properties of these materials is quite limited …

The quality control process for determining fabric faults causes high cost and time loss when performed with human eyes. Adding a real-time system to the fabric production mechanisms is very difficult to detect mistakes. In this study, 5 MP Raspberry Pi camera…

Görme engellilerin yaşamlarını kolaylaştıran teknolojik gelişmeler her geçen gün artmaktadır. Cisimlerin renklerini algılama onların sesle bildirimde bulunulması ile olabilmektedir. Bu çalışmada optik tabanlı renk sensörü tasarlanarak bu renkleri, renk kelimel…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

The aim of this study was to determine the prevalence of hepatitis B virus (HBV) serologic markers in children and adolescents and the impact of the vaccination program over the last 9 years. The laboratory records of 10175 children were retrospectively evalua…

Sulak alanlar dünyanın her yerinde olduğu gibi ülkemizde de hem ekolojik hem de ekonomik değere sahiptir. Bulunduğu bölgede doğal dengeyi sağlayan sulak alanlar aynı zamanda içerisinde barındırdığı güzel manzara, hassas kuş türleri, endemik bitkiler sayesinde …