Exploiting FPGA Capabilities for Accelerated Biomedical Computing

This study presents advanced neural network architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs), and Deep Belief Networks (DBNs) for enhanced ECG signal analysis using Field Programmable Gate Arrays (FPGAs). We utilize...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Inadagbo, Kayode, Baran Arig, Alici, Nisanur, Isik, Murat
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Belief networks Computation Computer architecture Field programmable gate arrays Machine learning Network latency Neural networks Performance measurement Random noise Recurrent neural networks Signal analysis Tensors
Online-Zugang:	Volltext
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