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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…

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 …

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

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…

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…

Teknolojik gelişmeler sayesinde birçok sektörde olduğu gibi risk faktörünün fazla olduğu havacılık sektöründe de insan rolü giderek azalmıştır. Bu nedenle insan faktörünü en aza indiren insansız hava araçlarına (İHA) olan talep ve geliştirme çalışmaları tüm dü…

Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

Failure Mode and Effects Analysis (FMEA) is a technique that evaluates and classifies the errors/risks that may occur at different stages in the enterprises according to their types and prioritizes the errors. Because it is an easy and effective technique to a…

Bu çalışmada helikopterlere ait mikro doppler karakteristikleri kullanılarak 4 farklı helikopter için benzetim çalışmaları gerçekleştirilmiştir. Benzetim çıktıları sonucunda Çok Katmanlı Yapay Sinir Ağı kullanılarak helikopter sınıflandırılması için öznitelik …

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

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…

The use of neon indictor lamp glow discharge detectors (GDDs) has a relatively great potential for a number of microwave detecting and imaging applications. This is so because of their many advantages which include but not limited to; low cost, fast response t…

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…

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…

Over the past decade, gold nanoparticles (AuNPs) have stimulated great interest in various types of sensors because they possess many attractive properties such as optical, electronic and chemical features [1]. In order to gain more intrinsic properties and …