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ORCIDDilruba Parvin
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2020 – today
- 2023
[j4]Omiya Hassan
, Tanmoy Paul, Nazmul Amin, Twisha Titirsha, Rushil Thakker, Dilruba Parvin, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)- [j3]Omiya Hassan, Tanmoy Paul, Md Maruf Hossain Shuvo, Dilruba Parvin, Rushil Thakker, Mengrui Chen, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection. J. Signal Process. Syst. 95(11): 1353 (2023) - 2022
- [j2]Omiya Hassan, Tanmoy Paul, Md Maruf Hossain Shuvo, Dilruba Parvin, Rushil Thakker, Mengrui Chen, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection. J. Signal Process. Syst. 94(6): 609-619 (2022) - [c5]Omiya Hassan, Rushil Thakker, Tanmoy Paul, Dilruba Parvin, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
SABiNN: FPGA Implementation of Shift Accumulate Binary Neural Network Model for Real-Time Automatic Detection of Sleep Apnea. I2MTC 2022: 1-6 - [c4]Omiya Hassan, Tanmoy Paul, Rushil Thakker, Dilruba Parvin, Md Maruf Hossain Shuvo, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA. MeMeA 2022: 1-6 - 2021
- [c3]Dilruba Parvin, Omiya Hassan, Taeho Oh, Syed Kamrul Islam:
RF Energy Harvester Integrated Self-Powered Wearable Respiratory Monitoring System. I2MTC 2021: 1-6 - [c2]Md Maruf Hossain Shuvo, Omiya Hassan, Dilruba Parvin, Mengrui Chen, Syed Kamrul Islam:
An Optimized Hardware Implementation of Deep Learning Inference for Diabetes Prediction. I2MTC 2021: 1-6 - 2020
- [j1]Taeho Oh, Dilruba Parvin, Omiya Hassan, Samira Shamsir, Syed Kamrul Islam:
MPPT integrated DC-DC boost converter for RF energy harvester. IET Circuits Devices Syst. 14(7): 1086-1091 (2020) - [c1]Omiya Hassan, Dilruba Parvin, Syed K. Kamrul:
Machine Learning Model Based Digital Hardware System Design for Detection of Sleep Apnea Among Neonatal Infants. MWSCAS 2020: 607-610
Coauthor Index
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