Academic Journal

SpikeEdge: A Residual Spiking Neural Network Architecture With Edge-Based Data Encoding for Efficient Hardware Design

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Τίτλος: SpikeEdge: A Residual Spiking Neural Network Architecture With Edge-Based Data Encoding for Efficient Hardware Design
Συγγραφείς: Mishra, S.M., Kundu, S., Meitei, N.Y., Shekhawat, H.S., Trivedi, G.
Πηγή: IEEE Transactions on Very Large Scale Integration (VLSI) Systems IEEE Trans. VLSI Syst. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on. 34(10):3288-3298 Oct, 2026
Βάση Δεδομένων: IEEE Xplore Digital Library
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PubType: Academic Journal
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  Data: SpikeEdge: A Residual Spiking Neural Network Architecture With Edge-Based Data Encoding for Efficient Hardware Design
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  Data: IEEE Transactions on Very Large Scale Integration (VLSI) Systems IEEE Trans. VLSI Syst. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on. 34(10):3288-3298 Oct, 2026
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        Value: 10.1109/TVLSI.2026.3718287
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              Y: 2026
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