Publications | Malatya Turgut Ozal University

Publications

Publications

2025

Doç. Dr. Harun BİNGÖL

- The Detection and Classification of Grape Leaf Diseases with an Improved Hybrid Model Based on Feature Engineering and AI

- Convolutional Neural Networks Based Hybrid Deep Model for Grapevine Leaves Detection and Classification

- Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods

Doç. Dr. Canan BATUR ŞAHİN

- The Evolution of Machine Learning: From Traditional Algorithms to Deep Learning Paradigms

- The Intersection of AI and the Internet 19 of Things (IoT): Transforming Data into Intelligence

- Convolutional Neural Networks: The Power Behind Image Recognition

- Recurrent Neural Networks and its Applications in Time Series Data

- Deep Reinforcement Learning: 17 Bridging Learning and Control

- Detection of cyber attacks in electric vehicle charging systems using a remaining useful life generative adversarial network

- Cloud computing needs to explore into sky computing

- Depth Analysis of Vulnerabilities in Training and Inference Times of Large Language Models

- Utilizing the Detection of Prompt Injection Attacks in a Large Language Model

- Fine-Tuning Code Analysis and Vulnerability Detection with Large Language Models

Doç. Dr. Serpil ASLAN

- Content-Based Brain Magnetic Resonance Image Retrieval and Classification with the Proposed Deep Learning and Tissue-Based System

- Stacked hybrid model: Multi-layer perceptron and logistic regression with meta-learning for cesarean section classification: Hybrid model for C-section prediction

- A Deep Learning Framework for Detecting Depression Tendencies in Social Media Content

- A Hybrid Artificial Intelligence Approach for Down Syndrome Risk Prediction in First Trimester Screening

- Artificial intelligence in prenatal diagnosis: Down syndrome risk assessment with the power of gradient boosting-based machine learning algorithms

- A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture

- A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter

Dr. Öğr. Üyesi Mücahit KARADUMAN

- Transforming Education with Augmented and Virtual Reality: Applications, Challenges and Future Perspectives

- Performance of Transformer-Based Methods on Restaurant Reviews Analysis

- A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture

- Classification of Malicious Network Dataset With Residual CNN

- Detection of Gallbladder Disease Types Using a Feature Engineering-Based Developed CBIR System

- Detection of Acromion Types in Shoulder Magnetic Resonance Image Examination with Developed Convolutional Neural Network and Textural-Based Content-Based Image Retrieval System