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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…

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…

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…

Afet sonrası acil toplanma alanları ve geçici barınma alanlarının belirlenmesi, kent planlaması ve afet yönetiminin temel unsurlarından biridir. Bu alanların konumları, dağılımları, büyüklükleri ve altyapı özellikleri, afet anında insanların güvenliğini sağlam…

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…

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Laboratuvar derslerinde öğrenci performansını etkileyen parametrelerden biri devrede kullanılan elemanların sağlam olup olmadığıdır. Devrede kullanılan elemanların işlevini yerine getiremez durumda olması öğrencilerin performans çıktılarını olumsuz etkilemekte…

This study emphasizes the significance of integrating Life Cycle Assessment (LCA), a systematic method used to evaluate the environmental impacts of a process throughout its entire life cycle, as a vital tool for cultural heritage conservation in Türkiye. The …

Birey-toplum-devlet ilişkilerinde meydana gelen dönüşümlerle birlikte, vatandaşların bireysel ve kolektif olarak karar alma süreçlerine katılımı pek çok alanda artmıştır. Kentsel planlamada karar alma süreçlerine sivil toplumun aktif katılımı, Türkiye Cumhuriy…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

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…

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

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…

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …