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ORCIDRodrigo Martins da Silva
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2010 – 2019
- 2012
[j5]Nadia Nedjah
, Rodrigo Martins da Silva, Luiza de Macedo Mourelle:
Compact yet efficient hardware implementation of artificial neural networks with customized topology. Expert Syst. Appl. 39(10): 9191-9206 (2012)- 2011
- [j4]Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle:
Analog Hardware Implementations of Artificial Neural Networks. J. Circuits Syst. Comput. 20(3): 349-373 (2011) - [j3]Rodrigo Martins da Silva, Nadia Nedjah, Luiza de Macedo Mourelle:
Hardware Implementations of MLP Artificial Neural Networks with Configurable Topology. J. Circuits Syst. Comput. 20(3): 417-437 (2011)
2000 – 2009
- 2009
- [j2]Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle, Marcus Vinícius Carvalho da Silva:
Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs. Neurocomputing 72(10-12): 2171-2179 (2009) - [c3]Rodrigo Martins da Silva, Nadia Nedjah, Luiza de Macedo Mourelle:
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation. ICANN (1) 2009: 475-484 - 2008
- [j1]Rodrigo Martins da Silva, Nadia Nedjah, Luiza de Macedo Mourelle:
Efficient hardware for modular exponentiation using the sliding-window method. Int. J. High Perform. Syst. Archit. 1(3): 199-206 (2008) - [c2]Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle, Marcus Vinícius Carvalho da Silva:
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks. ICANN (2) 2008: 169-178 - 2007
- [c1]Nadia Nedjah, Luiza de Macedo Mourelle, Rodrigo Martins da Silva:
Efficient Hardware for Modular Exponentiation Using the Sliding-Window Method. ITNG 2007: 17-24
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