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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 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…

Selection of floor insulation and flooring material is important in terms of providing electricity and safety of persons in electrical networks and electrical utility vehicle. The goal of a safe ground is to ensure the safety of people and the electrical syste…

We have designed a portable low-cost stethoscope with software tools. It is aimed to pre-diagnose heart diseases in a short time without exposing the patient to detailed examinations and additional procedures such as electro-cardiography (ECG) or angiography. …

2020 yılına kadar büyük veri gereksinimi ile birlikte kullanıcı sayısının hızlı bir şekilde artmaktadır. Yeni nesil hücresel iletişim teknolojilerinin bu veri trafiği ile beraber daha yüksek veri hızlarını desteklemesi beklenmektedir. Yaklaşan 5.nesil (5th Gen…

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…

Many communication protocols are being used and standardized for the Internet of Things (IOT) infrastructure. At the forefront of the features expected from the protocols used is the efficient operation of a limited bandwidth and low bandwidth electronic devic…

Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…

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…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

Son yıllarda üretim teknolojilerindeki gelişmeler, daha düşük maliyetli gelişmiş ağız içi tarayıcıların ortaya çıkmasını ve kısa sürede diş hekimliğinde kullanılmasına neden olmuştur Literatüre bakıldığında ağız içi taramalarından elde edilen ham verinin doğru…

Günümüzde çevremizdeki çeşitli seslerin ayrıştırılarak ortam tanıma işlemi popülerlik kazanmıştır. Videolarda arka plandaki çeşitli sesler, makine öğrenmesi ve derin öğrenme teknikleriyle oldukça yüksek başarıyla sınıflandırılabilmektedir. Böylece anlamsal ola…

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…

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…

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 emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

This study aims to evaluate fire safety and escape route design in student dormitories. Ismail Necati Efendi KYK Dormitory and Hubbi Hatun Dormitory in Karabük province were comparatively examined in terms of space organization, user density, number and placem…

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …