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Adoption in Nigeria: An Analysis of Users’ Behavioural Patterns Through the Lens of the Technology Adoption Model
An Adaptive Cybersecurity Framework Integrating Machine Learning, Zero Trust Policy, and Blockchain for Academic Cloud Environments
An Adaptive Cybersecurity Framework (ACF) is proposed that integrates unsupervised machine learning-based anomaly detection, a risk-based Zero Trust Policy Engine, and blockchain-based immutable audit logging within a continuous adaptive feedback loop to create an ecosystem-aware adaptive cybersecurity paradigm.
XSentiFusionNet: An Explainable Cross-Modal Attention Framework For Audio-Visual Sentiment Analysis Using Hybrid Deep Learning
XSentiFusionNet is an end-to-end explainable multimodal framework for audio-visual sentiment analysis that incorporates cross-modal transformer-attention, reliability-aware adaptive fusion, and XAI and showed higher robustness to noise and generalization ability on different multimodal datasets.