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Open access 2026

HYBRIDNET-IDS: AN INNOVATIVE CNN, BILSTM, AND TRANSFORMER FRAMEWORK UTILISING ATTENTION FOR IMPROVED NETWORK INTRUSION DETECTION

The rapid spread of network-connected technologies and the growing complexity of attacks have shown that traditional signature-based intrusion detection systems are not good enough, especially when it comes to finding zero-day attacks and advanced persistent threats. This paper introduces HybridNet-IDS, an augmented de...

Subhodip Koley, Sumit Das, Debasish Saha Roy et al. · 0 citations
Open access 2026

A Novel Hybrid Vision Transformer�XGBoost Framework for Automated Autism Spectrum Disorder Detection Using Image-Based Data

Our study focusses on a novel deep learning framework that integratesVision Transformer-based Autism Spectrum Disorder detection usingViTASD and DeiT along with XGBoost to enhance classificationperformance using image-based data. ASD is a multifaceted disease andtheearly diagnosis has been a serious challenge in terms...

Debmitra Ghosh, Kaushik Adhikary, Dharmpal Singh et al. · 0 citations

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