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Author

Vibhakar Pathak

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#edge computing Open access Oct 2026

Neuromorphic Computing and Spiking Neural Networks (SNNs) for Ultra-Low-Power Edge Intelligence: Architectures, Learning Paradigms, and Silicon Benchmarks

Abstract—The continuous scaling of conventional Deep Neural Networks (DNNs) on classical Von Neumann architectures has reached severe physical boundaries governed by the 'memory wall' and unsustainable thermal dissipation. Battery-constrained edge computing environments—including autonomous micro-robotics, bio-implanta...

Priyanshu Dahiya, Tanish Mudgal, Vishal Shrivastava et al. · 0 citations
#graph neural networks Open access Oct 2026

Graph Neural Networks (GNNs) for Complex System Anomaly Detection and Cybersecurity Telemetry: Topologies, Temporal Dynamics, and Enterprise SOC Benchmarks

Abstract—Modern enterprise computing fabrics, cloud infrastructures, and Security Operations Centers (SOCs) are inundated by billions of security events daily. Conventional Security Information and Event Management (SIEM) engines and intrusion detection systems (IDS) analyze telemetry as isolated, flat tabular logs (e....

Krish Kumar, Harsh Ranjan, Vishal Shrivastava et al. · 0 citations
#graph neural networks Open access Oct 2026

Diffusion Models Beyond Computer Vision: Tabular Data Synthesis, Graph Generation, and Time-Series Forecasting

Abstract—Denoising Diffusion Probabilistic Models (DDPMs) and Score-Based Generative Models have fundamentally transformed continuous image generation and multi-modal synthesis. However, their mathematical extension beyond Euclidean continuous pixel grids into structured enterprise domains—specifically heterogeneous ta...

Aarav Sharma, Aayush Nagar, Dr. Vishal Shrivastava et al. · 0 citations

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