Search

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…

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

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…

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

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 …

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 …

Generally, it is limited to obtain all kinds of data for determining of variables which distributed points in any area. Estimates are made from this data for unsampled locations. Thus, the spatial properties of an examined variable are defined all over the are…

The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…

To investigate how foreign trade deficits and budget deficits of Turkey navigated pre and post customs union (CU) with European Union. In the study, for the budget deficits (BD), General Directorate of Budget and Fiscal Control (BUMKO) and also for the foreign…

Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …

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…

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

A central composite design is a good choice for a spherical design region while providing high-quality predictions over the entire spherical design region. However, this design requires design variable settings outside the range of the design variables in the …

In this study, the effect of using a mixture of butanol and diesel fuel in a small diesel engine on engine performance and exhaust emissions is modeled. A comparison has been made with artificial neural networks, which is an up-to-date method, and multiple l…

Otel işletmelerinde çalışanların kişisel özellikleri bireysel ve örgütsel çıktılarını doğrudan etkilemektedir. Çalışanların işlerini kendi özelliklerine göre şekillendirmesi ve aynı zaman diliminde birden fazla iş yapma özelliklerinin olması iş performanslar…

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

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 …

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…

Bu çalışmanın amacı, GSYH (Gayri Safi Yurtiçi Hasıla), ithalat ve ihracat tutarları, kobi işyerleri ve konut satışları arasındaki ilişkileri yoğunlaştırmaktır. GSYH, bir ülkenin ekonomik yapısının ölçen temel bir göstergedir. Bir ülkenin ithalatı, dış ülkeleri…