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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 …

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

The present paper aims to demonstrate the importance of using Embedded Based Home Network Training Equipments to support easy-learning and proficiency of embedded systems, and provide guidance to smart home programing throw the Assistance Environment “ed5967”,…

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 …

Bu çalışmanın temel amacı finansal tutum ile yaşam tatmini arasında bir ilişki olup olmadığının ampirik olarak tespit edilmesidir. Bununla birlikte, finansal tutum ve yaşam tatmini ölçeklerinin, yaş, cinsiyet ve eğitim durumu gibi demografik faktörler üzerinde…

This study investigates the heightened vulnerability of children residing in disaster-prone informal settlements in the southwestern coastal city of Khulna, Bangladesh. The study focuses on both social and physical factors contributing to children's vulnerabil…

E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…

Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant challenges, such as com…

Ulusal ve yerel kalkınmanın en önemli unsurlarından biri olarak kabul edilen girişimcilik, ülkelerin geliştirilmesi için çok önemli çabalar harcadığı alanların başında gelmektedir. Bu kapsamda girişimcilik kavramı üzerinde kapsamlı araştırmalar yürütülmekte, u…

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…

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…

In this paper, signal recognition system is proposed for classification of soil types and buried object by using feature extraction and artificial neural networks. Using GprMax simulation program, 300 GPR A scan signals were obtained for different ground plane…

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…

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…

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 …

Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organ…

This study proposes a climate-adaptive framework for modular micro-living units as a construction-based response to growing urban challenges related to climate resilience, densification, and housing affordability. The design integrates prefabricated cross-lami…

Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …

Dünyadaki enerji tüketiminin %40’ının binalar tarafından gerçekleştiriliyor olması ve bu oranın büyük bir bölümünün ise kullanıcılara termal konfor sağlamak amacıyla ısıtma soğutma ve havalandırma amacıyla kullanıyor olması nedeniyle yapıların enerji etkinliği…

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…