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ORCIDMario Osta
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2020 – today
- 2020
[b1]Mario Osta:
Energy-efficient embedded machine learning algorithms for smart sensing systems. University of Genoa, Italy, 2020
2010 – 2019
- 2019
- [c6]Mario Osta, Mohamad Alameh
, Hamoud Younes, Ali Ibrahim, Maurizio Valle:
Energy Efficient Implementation of Machine Learning Algorithms on Hardware Platforms. ICECS 2019: 21-24 - [c5]Mario Osta, Ali Ibrahim, Maurizio Valle:
FPGA Implementation of Approximate CORDIC Circuits for Energy Efficient Applications. ICECS 2019: 127-128 - [c4]Mario Osta, Ali Ibrahim, Michele Magno, Manuel Eggimann, Antonio Pullini, Paolo Gastaldo, Maurizio Valle:
An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. ISCAS 2019: 1-4 - 2018
- [j1]Mario Osta, Ali Ibrahim, Lucia Seminara, Hussein Chible, Maurizio Valle:
Low Power Approximate Multipliers for Energy Efficient Data Processing. J. Low Power Electron. 14(1): 110-117 (2018) - [c3]Ali Ibrahim, Mario Osta, Mohamad Alameh, Moustafa Saleh, Hussein Chible, Maurizio Valle:
Approximate Computing Methods for Embedded Machine Learning. ICECS 2018: 845-848 - [c2]Mario Osta, Ali Ibrahim, Hussein Chible, Maurizio Valle:
Inexact Arithmetic Circuits for Energy Efficient IoT Sensors Data Processing. ISCAS 2018: 1-4 - 2017
- [c1]Mario Osta, Ali Ibrahim, Hussein Chible, Maurizio Valle:
Approximate Multipliers Based on Inexact Adders for Energy Efficient Data Processing. NGCAS 2017: 125-128
Coauthor Index
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