Halit Bakir
Orcid: 0000-0003-3327-2822
According to our database1,
Halit Bakir authored at least 13 papers
between 2021 and 2026.
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Bibliography
2026
Enhancing SQL Injection Detection Using Contextual Natural Language Processing method and Artificial Intelligence Techniques.
SN Comput. Sci., April, 2026
A novel metaheuristic-enhanced quantum-classical neural network for attack detection in agriculture IoT systems.
J. Supercomput., January, 2026
A Comprehensive Review of Reinforcement Learning Algorithms for Control Systems: Applications, Challenges, and Future Directions.
IEEE Access, 2026
2025
ViTGuard: a synergistic approach to malware detection using vision transformers and genetic algorithms optimization.
Pattern Anal. Appl., September, 2025
Optimized deep learning-oriented strategy for predicting the location of delamination and detecting their shapes in composite structures.
Iran J. Comput. Sci., June, 2025
VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models.
Multim. Tools Appl., April, 2025
A new method for tuning the CNN pre-trained models as a feature extractor for malware detection.
Pattern Anal. Appl., March, 2025
GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning.
Earth Sci. Informatics, February, 2025
Reinforcement learning-driven proportional-integral-derivative controller tuning for mass-spring systems: Stability, performance, and hyperparameter analysis.
Eng. Appl. Artif. Intell., 2025
2024
A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification.
Multim. Tools Appl., February, 2024
Evaluating the impact of tuned pre-trained architectures' feature maps on deep learning model performance for tomato disease detection.
Multim. Tools Appl., February, 2024
2023
DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms.
Comput. Electr. Eng., September, 2023
2021
Androıd kötücül yazılımlarından koruma sistemlerinin değerlendirilmesi ve görüntü işleme algoritmalarını yapay zekâ teknikleri ile melezleştirerek yeni bir algılama yaklaşımının geliştirilmesi (Evaluating the robustness of android anti-malware systems and developing a novel detection approach based on hybridizing image processing algorithms with artificial intelligence techniques)
PhD thesis, 2021