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Nesma M. Rezk
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Cited by
Year
Recurrent neural networks: An embedded computing perspective
NM Rezk, M Purnaprajna, T Nordström, Z Ul-Abdin
IEEE Access 8, 57967-57996, 2020
912020
A distributed genetic algorithm for swarm robots obstacle avoidance
NM Rezk, Y Alkabani, H Bedor, S Hammad
2014 9th International Conference on Computer Engineering & Systems (ICCES …, 2014
82014
Shrink and Eliminate::A Study of Post-training Quantization and Repeated Operations Elimination in RNN Models
ZUA Nesma M. Rezk, Tomas Nordström
Information 13, 2022
32022
MOHAQ: Multi-Objective Hardware-Aware Quantization of recurrent neural networks
NM Rezk, T Nordström, D Stathis, Z Ul-Abdin, EE Aksoy, A Hemani
Journal of systems architecture 133, 102778, 2022
22022
Exploring efficient implementations of deep learning applications on embedded platforms
N Rezk
Halmstad University Press, 2020
12020
Streaming Tiles: Flexible Implementation of Convolution Neural Networks Inference on Manycore Architectures
NM Rezk, M Purnaprajna, Z Ul-Abdin
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
12018
Shrink and Eliminate: A Study of Post-Training Quantization and Repeated Operations Elimination in RNN Models. Information 2022, 13, 176
NM Rezk, T Nordström, Z Ul-Abdin
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Deep Learning on the Edge: A Flexible Multi-level Optimization Approach
N Rezk
Halmstad University Press, 2022
2022
ModelFlex: Parameter Tuning for Flexible Design of Deep Learning Accelerators
N Rezk
2020
E iffcient Implementation of Convolution Neural Networks Inference On Manycore Architectures
N Rezk, M Purnaprajna, Z Ul-Abdin
10th Nordic Workshop on Multi-Core computing (MCC2017), Uppsala, Sweden, Nov …, 2017
2017
Swarm Robotics Obstacle Avoidance: A Progressive Minimal Criteria Novelty Search-Based Approach
NM Rezk, Y Alkabani, H Bedour, S Hammad
Progress in Artificial Intelligence 9273, 493-498, 2015
2015
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Articles 1–11