Author

Rakibul Islam

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Open access Oct 2026

ZD-HybridNet integrates transformer and LSTM models for explainable zero day cyber attack detection

The exponential growth of interconnected systems has dramatically expanded the attack surface of modern networks, making zero-day attacks, which exploit previously unknown vulnerabilities, a critical threat to organizational security. Traditional signature-based and anomaly detection systems often struggle to identify...

Alfaiz Madhiya, Sakib Salam Jamee, Khadeza Yesmin Lucky et al. · Discover Artificial Intellig... · 0 citations

Review Open access Jul 2026

Multi-aspect sentiment classification on USA-based Amazon customer reviews with DeBERTa-v3 encoders and aspect attention

The results show that the proposed framework provides complementary insights: structured models support overall satisfaction prediction, while the DeBERTa-v3-based aspect model provides more detailed attribution of customer experience across product, delivery, and usability dimensions.

Sabrina Shamim Moushi, Md Shohan Bhuiyan, Nasrin Akter et al. · Discover Analytics · 1 citation · ⚡1

Open access Jul 2026

Transformer-Based Multimodal Intelligence for Software Defect Detection: A Cloud-Native LLM Framework with Explainable AI for Digital Infrastructure Maintenance

This paper presents a cloud-native, transformer-based multimodal intelligence framework that integrates Large Language Model semantic encoding with deep neural learning to enable automated defect prediction and proactive maintenance of large-scale digital infrastructure.

Mst Masuma Akter Semi, Md Masud Karim Rabbi, K. Ahmed et al. · Multimedia · 0 citations