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Author

Posina Anusha

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Open access 2026

A LIGHTWEIGHT HYBRID DEEP LEARNING FRAMEWORK FOR MULTI-CLASS NETWORK INTRUSION DETECTION

The growing variety of cyberattacks has increased the need for intrusion detection systems that can detect multiple categories of attack with high reliability. We propose a lightweight hybrid framework LHCBA-Net, which integrates one dimensional convolutional neural networks, bidirectional long short term memory and te...

S. M. Mohan, Gowtham Reddy Kunduru, Shaik Jaffar Hussain et al. · 0 citations
Open access 2026

An Attention-Enhanced Hybrid Deep Learning Framework for Explainable Pneumonia Detection from Chest X-Ray Images

Chest X-ray (CXR) imaging is not particularly easy to interpret, due to the subtle appearance of the disease on CXR, and is prone to inter-observer variation, it is still regarded as the main diagnostic imaging modality for pneumonia, worldwide. Despite thepromising results of deep learning models for automated pneumon...

Posina Anusha, T. V. Rathnam, Shaik Jaffar Hussain et al. · 0 citations

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