Rafiqul Islam

The cascade hybrid model outperformed traditional forecasting methods, achieving an impressive R² of 0.889 in predicting cattle weight gain despite irregular data collection.

Tor's traffic reveals a striking 3.9461 cumulative leakage, highlighting critical behavioral patterns that could inform future anonymity network designs.

Transitioning to open-world evaluation reveals that closed-world models can drastically overestimate their effectiveness, with performance dropping by over 40% in real-world scenarios.

Asymmetric reward design in deep reinforcement learning can drastically reduce false negatives in ransomware detection, achieving a remarkable 67.6% improvement over traditional methods.

Achieving near-perfect ransomware detection while ensuring compliance with privacy regulations through efficient and auditable unlearning methods.