Abdullah Asım Yılmaz

Ankara University — Turkey

Computer Science · Physical Sciences

6h-index909citations17works1.92yr avg
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Research Topics

Network Security and Intrusion Detection(4), Advanced Malware Detection Techniques(4), Human Pose and Action Recognition(2), Hand Gesture Recognition Systems(2), Anomaly Detection Techniques and Applications(2)

Publications17 total

Advanced Multi-Label Classification for Predicting Diverse Diseases from Comprehensive Symptom Data Using Random Forests
Black Sea Journal of Engineering and Science·2025Open Access
Forensic identification using siamese, transfer learning and custom deep learning models
Scientific Reports·2025Open Access
Real-Time Clustering of Seagrass Age Categories Using Deep Learning and Unsupervised Machine Learning
International Journal of Computational and Experimental Science and Engineering·2025Open Access
A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks
PLoS ONE·2025· 6 citedOpen Access
Deep Learning Based COVID-19 Detection Using Computed Tomography Images
International Journal of Computational and Experimental Science and Engineering·2025Open Access
Multi-Label Movie Genre Detection from Movie Posters Using Deep Learning Algorithms
2024· 1 cited
A machine learning-based framework using the particle swarm optimization algorithm for credit card fraud detection
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering·2024· 6 citedOpen Access
A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions
Electronics·2023· 564 citedOpen Access
Intrusion Detection in Computer Networks using Optimized Machine Learning Algorithms
2022· 22 cited
A Novel Hyperparameter Optimization Aided Hand Gesture Recognition Framework Based on Deep Learning Algorithms
Traitement du signal·2022· 10 citedOpen Access
A New Malware Classification Framework Based on Deep Learning Algorithms
IEEE Access·2021· 212 citedOpen Access
Hareketli nesnelerde algılanması güç olan değişimlerin video büyütme yöntemiyle tespiti ve derin öğrenme ile analizi
2020
A Novel Action Recognition Framework Based on Deep-Learning and Genetic Algorithms
IEEE Access·2020· 53 citedOpen Access
Desktop Artillery Simulation Using Augmented Reality
2019· 3 cited
Comparison of Region Filling Algorithms Using Texture Synthesis Methodologies
2019· 1 cited
A Vehicle Detection Approach using Deep Learning Methodologies
arXiv (Cornell University)·2018· 31 citedOpen Access
Algılanması Güç Olan Değişimlerin Ortaya Çıkarılması için Resim Teleskopu Çalışmalarının Analiz Çalışmaları
Deu Muhendislik Fakultesi Fen ve Muhendislik·2017

Frequent Co-authors

Mehmet Serdar Güzel(5), Erkan Bostancı(4), Ömer Sevinç(3), Ömer Aslan(2), I. N. Askerzade(2), İman Askerbeyli(2), Mehrübe Mehrübeoğlu(2), Semih Serkant Aktuğ(1), Merve Ozkan-Okay(1), Erdal Akin(1), Mehmet Ugur Yavuz(1), Ridvan Sayar(1), Bilge Yilmaz(1), Kirk Cammarata(1), Sharon M. Derrick(1), Özlem Aslan(1)