Author

M. Z. Konyar

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Open access Aug 2026

Enhancing IoT Attack Detection Through SMOTE-Based Class Balancing: A Comparative Analysis of Machine Learning Algorithms

Imbalanced class distributions in Internet of Things (IoT) attack datasets limit the ability of machine learning (ML) models to detect minority intrusions and lead to high false-negative rates. This study investigates the effectiveness of the Synthetic Minority Oversampling Technique (SMOTE) in improving multi-class at...

Ela Kalifati, K. Küçük, Şevval Şolpan et al. · Journal of universal compute... · 0 citations

Review Open access Jul 2026

Multi-Agent LLM Pipeline for Code Writing: An Experimental Study of Writer-Reviewer Architecture

A multi-agent pipeline-based approach for solving competitive programming problems via Large Language Models (LLMs) is developed and the Writer-Reviewer pipeline where the Writer Agent produces Python solutions and the Reviewer Agent gives static natural language feedback is analyzed.

Temel Kaan Ekiz, M. Z. Konyar · ADBA Computer Science · 0 citations