Deep learning based image classification for remote medical diagnosis J Shihadeh, A Ansari, T Ozunfunmi 2018 IEEE Global Humanitarian Technology Conference (GHTC), 1-8, 2018 | 19 | 2018 |
An efficient reconfigurable hardware accelerator for convolutional neural networks A Ansari, K Gunnam, T Ogunfunmi 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1337-1341, 2017 | 16 | 2017 |
Hardware Acceleration of a Generalized Fast 2-D Convolution Method for Deep Neural Networks A Ansari, T Ogunfunmi IEEE Access, 2022 | 10 | 2022 |
A FIFO based accelerator for convolutional neural networks V Panchbhaiyye, T Ogunfunmi ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 7 | 2020 |
A Fast 2-D Convolution Technique for Deep Neural Networks A Ansari, T Ogunfunmi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 6 | 2020 |
Selective Data Transfer from DRAMs for CNNs A Ansari, T Ogunfunmi 2018 IEEE International Workshop on Signal Processing Systems (SiPS), 1-6, 2018 | 6 | 2018 |
Empirical Analysis of Fixed Point Precision Quantization of CNNs A Ansari, T Ogunfunmi 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems …, 2019 | 4 | 2019 |
Elasto-Net: An HDL Conversion Framework For Convolutional Neural Networks A Ansari, T Ogunfunmi 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 787-791, 2018 | 2 | 2018 |
Implementing 2x1 Transmit Diversity on Software Defined Radios A Ansari, RM Zaragoza Proceedings of the International Conference on Engineering of Reconfigurable …, 2013 | | 2013 |