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Ülkemizde Üniversite öğrencilerinin büyük bir bölümü öğrenim hayatlarının bir döneminde devlet yurtlarında kalmaktadır. Bu çalışmanın amacı, Kredi ve Yurtlar Genel Müdürlüğü (KYGM)’nde barınan öğrencilerin; yurttan ayrılma sebeplerinin veri madenciliği yönteml…

This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is…

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK) is widely used. The parame…

This paper presents a different approach for the optimal active power flow solution in multi-terminal AC-DC systems to minimize total active power generation cost. System constraints for all of the control and state variables of both AC and DC systems are also…

In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…

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…

Bu çalışmanın amacı konservatuvar düzeyinde uzaktan enstrüman eğitiminin bu alana kazandıracaklarını ve olası risklerini inceleyerek, uzaktan eğitim sisteminin konservatuvar eğitiminde uygulanabilir olup olmadığını ortaya koymaktır. Dünyada bilişim teknolojile…

Demokrasi denilince akla gelen ilk unsur, halkın yönetime doğrudan ya da dolaylı olarak katılabildiği bir toplumsal düzendir. Bu açıdan yerleşim merkezlerinde kamusal hizmetleri gerçekleştirmek üzere yönetici ve üyeleri yerel halk tarafından seçilerek örgütlen…

Veritabanları verileri dijital ortamda düzenli bir şekilde saklamamızı ve istediğimiz zaman bu verilere en hızlı ve güvenli bir şekilde ulaşmamızı sağlayan yazılımlardır. Bilgi teknolojilerinin gelişmesine paralel olarak veritabanı sistemleri gelişmekte, her…

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…

Network security is becoming more and more important as a result of the growing use of the internet and technological developments. Intrusion Detection Systems (IDS) are utilized to detect attacks, preferably by monitoring real-time events. Therefore, they hol…

What makes a learner “a good learner” and how we can use this to improve the learning of the other learners have long been discussed and studied. Studies conducted throughout years have shown that “Language Learning Strategies” affect the learners in many ways…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…

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…

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…

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 …

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

Few ancient structures inspire spiritual reverence and architectural awe like the Roman Pantheon. Designed as a temple and a cosmological instrument, the Pantheon depicts how Roman architects transformed daylight into a divine symbol. This paper examines the s…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…