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Author

Uma Kannan

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Open access 2025

Attention-Enhanced Sequential GAN for Reliable Groundwater Recharge Time-Series Augmentation

Groundwater recharge modeling is critically hindered by the scarcity of long-term, high-resolution time-series data, limiting the robustness and generalization capability of predictive models. We propose the Attention-enhanced Sequential Generative Adversarial Network () to synthesize high-fidelity, multivariatehydrolo...

Uma Kannan, Rajendran Swamidurai · 0 citations
Open access 2026

The Strategic Evolution of Software Engineering in the Generative AI Era

The rapid proliferation of Generative Artificial Intelligence (GenAI) across the software development life cycle (SDLC) is driving a fundamental paradigm shift in software engineering. While isolated, task-level acceleration has been demonstrated under controlled experimental conditions, enterprise environments face a...

Rajendran Swamidurai, Uma Kannan · 0 citations
Review Open access 2026

The Next Generation of Malware Defense using Deep Hashing and Neural Embeddings

This survey systematically examines the evolution of binary similarity detection, tracing the trajectory from classical fuzzy hashing techniques to contemporary deep representation learning architectures, providing a unified taxonomy and outlines key challenges for resilient malware lineage tracking and zero-day threat...

Uma Kannan, Rajendran Swamidurai · 0 citations
Open access 2026

Hybrid Convolutional-Hopfield Neural Networks for Image-Based Malware Classification

A novel hybrid CNN-Hopfield Neural Network (CNN-HNN) framework that replaces traditional dense classification heads with continuous Modern Hopfield associative memory layers is proposed, achieving top-tier accuracy and reducing classification-head parameter counts while reducing floating-point operations (FLOPs) and ac...

Uma Kannan, Rajendran Swamidurai · 0 citations

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