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ORCIDHirenkumar Paneliya
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2020 – today
- 2021
[j1]Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin:
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 23:1-23:21 (2021)- 2020
- [c5]Hasib-Al Rashid, Nitheesh Kumar Manjunath
, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin:
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED 2020: 105-110 - [c4]Hirenkumar Paneliya, Morteza Hosseini, Avesta Sasan, Houman Homayoun, Tinoosh Mohsenin:
CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator. ISQED 2020: 311-316
2010 – 2019
- 2019
- [c3]Morteza Hosseini, Mark Horton, Hiren Paneliya, Uttej Kallakuri, Houman Homayoun, Tinoosh Mohsenin:
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC 2019: 203 - [c2]Morteza Hosseini, Hirenkumar Paneliya, Utteja Kallakuri, Mohit Khatwani, Tinoosh Mohsenin:
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. ISQED 2019: 259-264 - 2018
- [c1]Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich:
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS 2018: 1-4
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