AI and Big Data Applications

Abstract Deep Learning (DL) has been effectively utilized in various complicated challenges in healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung nodule recognition, computer vision, large data analytics, and human‐level control. Nevertheless, developments in digital technology…

• NIMA JAFARI NAVIMIPOUR

No abstract yet.

• SERHAT KILIÇARSLAN

This study examines the role of artificial intelligence (AI) technologies in the education of students with disabilities and provides a comprehensive assessment of how these technologies can transform educational processes. Also, the study explores the impact of AI-based technologies such as speech recognition, text-t…

• EREN KAMBER

No abstract yet.

• SEFER KURNAZ

Sıtma, dünyanın birçok bölgesinde yaygın olarak görülen enfekte sivrisineklerin ısırıkları yoluyla insanlara bulaşan parazitlerin neden olduğu hayatı tehdit eden bir hastalıktır. Plasmodium adlı kan paraziti bu hastalığına sebep olmaktadır. Sıtmanın erken teşhisi ve tedavisi, özellikle hastalığın yaygın olduğu gelişme…

• YILDIRIM ÖZÜPAK

Maximum oxygen consumption (VO2max) is important to observe the endurance of the athletes and evaluate their performance.. Aim is to develop new prediction models for college-aged students using Support Vector Machine (SVM) with Relief-F feature selection algorithm. Ten different models consisting of the predictor var…

• MEHMET FATİH AKAY
• MUSTAFA MİKAİL ÖZÇİLOĞLU

Explainable Artificial Intelligence has emerged as a critical tool in addressing the transparency challenges associated with machine learning models. This study investigates the application of XAI techniques in the educational domain, with a focus on identifying factors influencing academic performance. Using datasets…

No abstract yet.

Abstract Coronary artery disease outstands health problem that causes high mortality in the world population. This disease brings with it fateful problems such as heart attack and heart failure in patients with cardiovascular problems. Early diagnosis of coronary artery disease is essential for the timely administrati…

The pronunciation accuracy of language resource library is the key to improve the quality of language resource library. An automatic pronunciation calibration model construction method based on dynamic time normalization algorithm is proposed. By analyzing the dynamic characteristics of the pronunciation of the langua…

• MAHMOUD ALDABABSA

To record and evaluate students' physical education class participation, this study proposes using a Machine Learning aided Physical Training Framework (ML-PTF). Improve student achievement in physical education with the help of the Multi-level Fusion System that employs machine learning strategies. The system integra…

• HATIRA GÜNERHAN

The study aims to investigate the impact of metaverse technologies in the field of education. To achieve this objective, bibliometrics and content analysis were employed. During the study, a total of 178 studies were subjected to bibliometric analysis, while 112 studies specifically focused on education were examined…

• BÜNYAMİ KAYALI
• MEHMET YAVUZ
• ŞENER BALAT