The quality of support sets plays a critical role in few-shot learning. How well class prototypes represent their corresponding categories depends directly on the samples selected to construct these sets during episodic training. In standard implementations of Prototypical Networks, support samples are typically select...
Uğur Yıldız, İlhan Kaan Yazıcıoğlu, K. Küçük et al.· Applied Sciences· 0 citations
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
Imaging through scattering media continues to be a persistent challenge in optical imaging due to the fact that scattering disrupts the direct relationship between the object and the measured signal. Once this relationship is degraded, reconstructing the original scene turns into a challenging inverse problem, for whic...
R. A. Saleh, Salah F. S. Saeed, Malak M. N. Al-Koshab et al.· 2026 6th International Confe...· 0 citations
Federated learning (FL) reduces raw-data sharing in Internet of Things (IoT) intrusion detection systems (IDSs), but standard FL can still overuse battery-powered clients by assigning local training without considering device health. This paper presents ResFed-IDS, a resource-aware FL framework that combines server-sid...
Seidy Kante, K. Küçük, S. A. Khan· 2026 6th International Confe...· 0 citations
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