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Md. Najrul Islam

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2020 – today

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2024
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Md. Najrul Islam, Rahul Shrestha, Shubhajit Roy Chowdhury:
Energy-Efficient and High-Throughput CNN Inference Engine Based on Memory-Sharing and Data-Reusing for Edge Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71(7): 3189-3202 (2024)
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Md. Najrul Islam, Rahul Shrestha, Shubhajit Roy Chowdhury:
Low-Complexity lassification Technique and Hardware-Efficient Classify-Unit Architecture for CNN Accelerator. VLSID 2024: 210-215
2022
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Md. Najrul Islam, Rahul Shrestha, Shubhajit Roy Chowdhury:
An Uninterrupted Processing Technique-Based High-Throughput and Energy-Efficient Hardware Accelerator for Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30(12): 1891-1901 (2022)
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Md. Najrul Islam, Rahul Shrestha, Shubhajit Roy Chowdhury:
A New Hardware-Efficient VLSI-Architecture of GoogLeNet CNN-Model Based Hardware Accelerator for Edge Computing Applications. ISVLSI 2022: 414-417

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