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Hasib-Al Rashid
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2020 – today
- 2024
- [j5]Hasib-Al Rashid
, Utteja Kallakuri
TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 23(3): 47:1-47:23 (2024) - [i4]Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin:
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. CoRR abs/2404.03574 (2024) - [i3]Hasib-Al Rashid, Tinoosh Mohsenin:
TinyM2Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment. CoRR abs/2405.12353 (2024) - 2023
- [c5]Hasib-Al Rashid, Tinoosh Mohsenin:
HAC-POCD: Hardware-Aware Compressed Activity Monitoring and Fall Detector Edge POC Devices. BioCAS 2023: 1-5 - 2022
- [j4]Arnab Neelim Mazumder
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test 39(3): 82-90 (2022) - [j3]Aidin Shiri
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27(5): 45:1-45:19 (2022) - [i2]Hasib-Al Rashid, Pretom Roy Ovi, Aryya Gangopadhyay, Tinoosh Mohsenin:
TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices. CoRR abs/2202.04303 (2022) - 2021
- [j2]Arnab Neelim Mazumder
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 532-547 (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) - [c4]Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin:
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. AICAS 2021: 1-4 - 2020
- [c3]Hasib-Al Rashid, Nitheesh Kumar Manjunath
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED 2020: 105-110 - [c2]Arnab Neelim Mazumder, Hasib-Al Rashid, Tinoosh Mohsenin:
An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. SoCC 2020: 54-59 - [c1]Haoran Ren, Arnab Neelim Mazumder, Hasib-Al Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin:
End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. SoCC 2020: 102-107 - [i1]Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin:
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR abs/2011.13194 (2020)
Coauthor Index
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