Conveners
Session: Virtual (English Language): Block 3
- Oktay Dogangun (İstanbul Zaim Üniversitesi, İZÜNAR)
- Aydin Tarik Zengin (UAKK)
- Erdal Alimovski (IZU)
- Gokhan Erdemir (University of Tennessee at Chattanooga)
Description
Virtual Presentations in English
Machine learning has emerged in many fields thanks to its ability to extract meaningful information from large data sets, solve complex problems, and make predictions about the future. In healthcare, machine learning is used in various applications such as disease diagnosis, treatment planning, patient monitoring, and personalized healthcare. However, for these applications to be successful,...
Economic challenges faced by developing and underdeveloped countries often limit undergraduate electrical-electronics engineering students' access to hands-on learning in digital logic design platforms, potentially hindering the development of a skilled workforce. Practical experience is crucial for bridging the gap between theoretical knowledge and industry requirements, yet resource...
In this paper, a MATLAB App program is presented that decomposes the numerator and denominator polynomials of transfer functions into their odd and even components. In control engineering, transfer functions are essential tools for modeling system dynamics, and decomposing these functions into their odd and even components is a key step in system analysis. The developed MATLAB App allows users...
Chatbots offer a very fast, easy and dynamic interaction in textual, audio and visual forms. Their high-level capabilities have paved the way for the increasingly widespread use of chatbots on every platform that include human-machine interaction, from education to health, from finance to customer relationship management, and so on. University websites, as one of the most common and potential...
Plant disease detection and classification are critical for ensuring sustainable agriculture and food security. In recent years, convolutional neural networks (CNNs) have emerged as state-of-the-art solutions for image classification tasks due to their remarkable performance in extracting meaningful features from complex datasets. This study evaluates the performance of state-of-the-art CNN...
This study presents the design and simulation of a circularly polarized antenna operating at 137 MHz, intended for applications such as NOAA weather satellite reception. The antenna system is based on two V-dipole antennas configured to achieve circular polarization with a 90° phase difference between them. Each V-dipole is constructed using two 540 mm long copper rods, positioned at a 120°...
Data analytics platforms such as Alteryx, Tableau Prep, RapidMiner, and other similar data preparation and analytics tools have revolutionized the way businesses and individuals handle large volumes of data without the need for advanced programming skills. Likewise, these platforms have become important tools within higher education settings. They are increasingly utilized to perform complex...
This paper describes the design and implementation of an open-source healthcare portal created especially for healthcare providers. The portal is FHIR compliant, enabling seamless, consistent, and secure data exchange between healthcare systems. The system is built with a reliable and scalable architecture to meet the complex needs of modern healthcare environments and is developed using...
The rapid advancement of artificial intelligence (AI) has brought forth an array of powerful large language models (LLMs) designed to process and generate human-like text across diverse applications. This study provides a comprehensive comparative analysis of leading LLMs, including GPT series, BERT derivatives, and other cutting-edge models such as PaLM and LLaMA. The comparison is conducted...
