Author

T. E. Nyamasvisva

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Conference Open access 2026

An Attention-Guided Hybrid CNN–Vision Transformer Framework for Real-Time and Edge-Deployable Crowd Density Estimation

Estimating crowd densities accurately is still a key issue in the field of intelligent surveillance systems, especially in developing more advanced Deep Learning models which can be implemented on edge devices with limited resources. Recent Vision Transformer (ViT) models have excelled in capturing long-range global re...

Rashmi S. Nair, T. E. Nyamasvisva, Rajesh Kumar Tiwari · EPJ Web of Conferences · 0 citations

#small language model Open access Oct 2026

DB-HSM: LLM-driven semantic boundary debugging for network intrusion detection

Machine-learning intrusion detectors reach high average accuracy yet fail consistently on a small set of flows near the decision boundary, where benign and attack traffic overlap in feature space. These errors matter operationally, and standard remedies stop short: adversarial training adds perturbations whose gradient...

Ze-Ru Wang, T. E. Nyamasvisva · Advances in Engineering Inno... · 0 citations