Author

Jatinder Kaur

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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.

A feature-driven Intrusion Detection (ID) framework that combines XGBoost-based feature selection with multiple ML classifiers to improve attack detection performance while reducing computational complexity is proposed.

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