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The popularity of wireless communication is increasing day by day. This has led to the fact that data transfers via GSM have reached very high levels. Data transfers via GSM, which are continuously growing, increase the density of data traffic, thus necessitat…

Many structures, machinery, equipment, heritages, also socio-cultural systems may be subjected to the unfavourable impact caused by various disaster risks, such as flooding, heavy snow, earthquakes, landslides, hurricanes etc. For prevention and reduction of d…

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

In all systems within the information technologies and in the applications on these systems, the transactions performed by users and system administrators are recorded in accordance with the legal regulations and corporate policies. These records, which are on…

Bu çalışmada Yapay Bağışıklık Sistemine(YBS) dayalı Klonal Seçim Algoritması'nın (KSA) Matlab ortamında yazılımı gerçekleştirilmiştir. Ayrıca KSA'na koşul tabanlı bir yapı eklenerek geliştirilmiştir. Geliştirilen Koşul-Tabanlı Klonal Seçim Algoritması (KT-KSA)…

Organized Industrial Zones (OIZ) are growing in number since the year 1962, and as of 2018, the number of mixed, specialized and rehabilitated OIZs is more than 300. In these regions, wastewater management is mostly contracted with the municipality and in 46…

Sanayi 4.0 değer zincirine makinelerin ve mikrobilgisayar ağlarının bağlanmasını, sensörler ve gömülü akıllı makinelerle üretim için Siber Fiziksel Sistemlerin uygulanmasını, akıllı üretim kavramı olarak tanımlanır. Bu kavram ayrıca dijital ürünlerin gelişti…

In addition to developing information technologies, medical decision support systems are used to make decisions more effective, faster, more accurate and easier to make decisions in medicine and healthcare. With data mining, which is an important part of med…

Nowadays, home automation systems are one of the areas where technological developments are applied. Thus, devices such as doors, windows, lighting, heating, cooling, security cameras, elevator, fire, water pressure, garage, solar energy systems and TVs, curta…

Ergonomics is the process of designing or arranging workplaces, products and systems so that they fit the people who use them. Ergonomics is a branch of science that aims to learn about human abilities and limitations, and then apply this learning to improve p…

Building automation and control systems (BACs) allow plants in buildings to be controlled and managed, thus increasing the users' comfort and reducing the operation and maintenance costs. As far as the lighting services are concerned, control systems offer an …

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…

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 paper explores the transformative role of Building Information Modelling (BIM) in enhancing stakeholder engagement in transportation infrastructure projects. Drawing on literature, real-world case studies, and survey results from 32 stakeholders, the rese…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

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…

İnsanlık tarihin en başından beri toplumlar hareket halindedir. Bu hareket isteği zaman içerisinde çeşitli gelişim aşamalardan geçmiştir ve değişmiştir. Uçma tutkusu ile temelleri atılan havacılık, kentsel hava hareketliliğinin (UAM) ortaya çıkışı ile farklı b…