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2020 – today
- 2023
[j7]Marwa Gam
, Mohamed Boubaker, Khaled Ben Khalifa, Mohamed Hedi Bedoui:
A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks. Neural Process. Lett. 55(3): 2521-2550 (2023)
2010 – 2019
- 2018
- [j6]Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Hedi Bedoui:
LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems. Neural Comput. Appl. 29(2): 509-528 (2018) - 2017
- [j5]Najoua Chalbi, Mohamed Boubaker, Mohamed Hedi Bedoui:
Implementation of a low-power LVQ architecture on FPGA. IET Circuits Devices Syst. 11(6): 597-604 (2017) - [c3]Marwa Gam, Mohamed Boubaker, Najoua Chalbi, Mohamed Hedi Bedoui:
Parallelism Hardware Computation for Artificial Neural Network. AICCSA 2017: 1049-1055 - 2014
- [j4]Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Akil, Mohamed Hedi Bedoui:
Integration of Optimization Approach Based on Multiple Wordlength Operation Grouping in the AAA Methodology for Real-Time Systems: LVQ Implementation. Int. J. Embed. Real Time Commun. Syst. 5(1): 37-60 (2014) - 2012
- [j3]Najoua Chalbi, Mohamed Boubaker, Mohamed Bedoui Hedi:
Power estimation model based on grouping components in field-programmable gate array circuit. IET Circuits Devices Syst. 6(6): 437-446 (2012) - [c2]Najoua Chalbi, Mohamed Boubaker, Mohamed Bedoui Hedi:
Analytical dynamic power model for LUT based components. DTIS 2012: 1-6 - 2010
- [j2]Najoua Chalbi, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Bedoui Hedi:
Implementation of a novel LVQ neural network architecture on FPGA. Int. J. Artif. Intell. Soft Comput. 2(3): 163-173 (2010) - [j1]Mohamed Boubaker, Mohamed Akil, Khaled Ben Khalifa, Thierry Grandpierre, Mohamed Bedoui Hedi:
Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices. Neural Comput. Appl. 19(2): 283-297 (2010) - [c1]Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Bedoui Hedi:
Hedi: Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification. ISDA 2010: 610-614
Coauthor Index
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