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With today's developing technology, learning applications reach more people within shorter time. This development of technology closely affects mobile technology. These developments in mobile technology are applied to make learning more effective. Mobile learn…

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…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized 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…

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…

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 …

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…

In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

Özet – Bu çalışmada CNC tezgahlardan MT Connect standardında oluşturulan, tezgah çalışma verileri alınıp kullanılarak duruş ve çalışma analizi yapılması hedeflenmiştir. Günümüzde CNC bazında üretim planlaması yapmak imalat fabrikalarının en önemli sorunlarında…

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

Many situations in human life are described with uncertain narratives. The fuzzy set theory has revealed as a powerful tool to deal with the uncertainty of human thoughts and expressions, by Azerbaijani Prof. Dr. Lotfi A. Zadeh in 1965. In the classical cluste…

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

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…

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…

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

This paper examines daylight usage as a design tool in architectural projects, as an inspiration point, and as a natural concept creator during building design. Architectural design which is a complex process, includes some basic steps such as; analyses-synthe…

Bionic hand is a system consisting of many electronic and mechanical parts. Motion in the bionic hand system is achieved by motor control. One of the most complex organs of the human body is the hand. Bionic hand design has been studied in engineering and biom…

At the last two decades the information world and associated information technologies have been progressed. This progress can be implemented from the concept of the internet to the internet of things. The Internet of things (IoT) refers to billions of electron…