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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…

The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…

Eğitim yapılarının, öğrenicilerin yaratıcılık, eleştirel düşünme ve problem çözme becerilerini besleyecek uyaranlar içermeleri konusunda yaygın bir kabul bulunmaktadır. Bu bağlamda, pek çok Avrupa ülkesinde eğitim politikaları kapsamında, eğitim ve öğretimin k…

The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…

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…

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…

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…

Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…

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…

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…

Bugün Fen ve Mühendislik Bilimlerinde de İngilizce dili, geçer akçe olmak özelliğini sürdürmektedir. Bu durum özellikle İnşaat Mühendisliği ve Mimarlık gibi dallarda daha da belirgindir. İnşaat Mühendisliği öğrenimi, uygulamaları, gelişimi esnasında diğer dill…

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,…

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…

Understanding pedestrian perception is essential for designing walkable and inclusive urban environments. This study employs real-world eye-tracking to investigate how pedestrians visually engage with urban streetscapes during everyday navigation. Using wearab…

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…

Leveraging the robust potential inherent in large language models, their profound and pervasive impact has transcended various domains in recent years, ushering in their widespread integration across diverse sectors. In resonance with this predominant trend, t…

Urban public spaces which have a place in urban design projects with different scales and degrees, are important living/living parts of the city used by everyone. These places are primarily used for mobility and access but also for official social events. In…

Bu araştırmanın amacı Samsun İlindeki bir devlet lisesindeki öğrencilerin, internet bağımlılığını ölçmek ve bu durumun depresyon üzerindeki etkilerini belirlemektir. Çalışmada lise öğrencilerinin demografik özellikleri ile birlikte internet bağımlılığı ve de…

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …