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M. Kanthimathi

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#graph neural networks Open access Oct 2026

High-performance recursive multiplier design using Motif-Based hierarchical elements and heterogeneous lyrebird attention networks

Digital Signal Processing (DSP), cryptography, and Machine Learning (ML) applications require multipliers that consume low power while delivering high speed and occupying minimal physical space, as computational demands continue to increase. Conventional multiplier architectures are limited due to high power consumptio...

S. Usha, M. Kanthimathi, Srinivas Chikkam et al. · 0 citations

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