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Md Shah Fahad

Showing results (1-10 of 4) with videos related to

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Frontiers in Neuroinformatics|July 3, 2024
Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learningS M Shayez Karim, Md Shah Fahad, R S Rathore
Enzyme and Microbial Technology|June 6, 2026
A deep learning multi-attention Bi-GRU framework for k<sub>cat</sub> prediction with segmentation-based insightsPriyanka, Ramesh Chandra, Md Shah Fahad, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 19, 2019
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein SequencesAshish Ranjan, Md Shah Fahad, David Fernandez-Baca, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 10, 2022
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-AttentionAshish Ranjan, Md Shah Fahad, David Fernandez-Baca, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|July 3, 2024
Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learningS M Shayez Karim, Md Shah Fahad, R S Rathore
Enzyme and Microbial Technology|June 6, 2026
A deep learning multi-attention Bi-GRU framework for k<sub>cat</sub> prediction with segmentation-based insightsPriyanka, Ramesh Chandra, Md Shah Fahad, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 19, 2019
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein SequencesAshish Ranjan, Md Shah Fahad, David Fernandez-Baca, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 10, 2022
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-AttentionAshish Ranjan, Md Shah Fahad, David Fernandez-Baca, et al.
Pageof 1