Recurrent neural networks: An embedded computing perspective NM Rezk, M Purnaprajna, T Nordström, Z Ul-Abdin IEEE Access 8, 57967-57996, 2020 | 109 | 2020 |
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 | 9 | 2014 |
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 | 3 | 2022 |
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 | 2 | 2022 |
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 | 2 | 2018 |
Exploring efficient implementations of deep learning applications on embedded platforms N Rezk Halmstad University Press, 2020 | 1 | 2020 |
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 |