The increasing adoption of machine learning and deep learning techniques in intrusion detection systems (IDSs) has substantially increased the computational complexity of model development due to large-scale datasets, sophisticated model architectures, extensive hyperparameter optimization, and repeated experimentation...
Vignaraj Ananth Vikraman, Sumendra Yogarayan, K. Muthu et al.· Future Internet· 0 citations
The findings suggest that combining attention-augmented segmentation with transfer learning-based classification can effectively support automated AD detection from structural MRI, potentially reducing the manual burden on clinicians.
Nirupama Panabakam, K. Elangovan, Koteeswaran Seerangan et al.· Frontiers in Neuroscience· 0 citations
Internet of Things (IoT) device security remains a concern due to their limited computational resources and increasing exposure to network-based cyberattacks. While recent IoT security research has focused on machine-learning and blockchain-based defense mechanisms, many of these approaches introduce computational over...
Kuberan Dharmalingam, Sumendra Yogarayan, Ang Ee Mae· International Conference on...· 0 citations
Findings support the complete framework on the evaluated corpus, while the controlled comparisons indicate a modest complementary contribution from the BiLSTM and do not identify it as the sole source of the performance gains.
Shweta Bansal, S. Yogarayan, S. F. Abdul Razak· Information· 0 citations
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