Author

Sarbeswara Hota

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Aug 2026

SMOG: an adaptive hybrid oversampling framework using SMOTE and conditional GAN for difficulty-aware learning on imbalanced data

SMOG, an adaptive hybrid oversampling framework that integrates the Synthetic Minority Over-sampling Technique with a Conditional Generative Adversarial Network (GAN)-based difficulty-aware learning strategy, highlights the effectiveness of adaptive hybrid generative strategies for intelligent learning on imbalanced da...

Jatinder Kaur, Vimal Parmar, B. K. Rao et al. · Evolutionary Intelligence · 0 citations

Open access Jul 2026

Comparative performance evaluation of machine learning classifiers for multi-class intrusion detection on the NSL-KDD dataset.

Intrusion Detection Systems (IDSs) play a vital role in safeguarding modern network infrastructures against increasingly sophisticated cyber threats. However, the high dimensionality of network traffic data and the presence of imbalanced attack classes often limit the effectiveness of conventional Machine Learning (ML)...

Aman Jyoti, Maninder Singh, V. Banga et al. · Scientific Reports · 0 citations