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S Sarumathi

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

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Molecular Genetics and Genomics : MGG|January 20, 2026
Flemboda artificial intelligence: hybrid fuzzy-convolutional neural network for efficient chromosome abnormality classificationK Kiruthika, S Sarumathi, M Karpagam, et al.
Indian Journal of Biochemistry & Biophysics|June 5, 2015
Evaluation of different protein extraction methods for banana (Musa spp.) root proteome analysis by two-dimensional electrophoresisM Mayil Vaganan, S Sarumathi, A Nandakumar, et al.
Indian Journal of Experimental Biology|March 28, 2014
Phenylpropanoid enzymes, phenolic polymers and metabolites as chemical defenses to infection of Pratylenchus coffeae in roots of resistant and susceptible bananas (Musa spp.)M Mayil Vaganan, I Ravi, A Nandakumar, et al.
Scientific Reports|April 4, 2025
An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environmentM Karpagam, S Sarumathi, A Maheshwari, et al.
Pageof 1

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

Sort By:
Pageof 1
Molecular Genetics and Genomics : MGG|January 20, 2026
Flemboda artificial intelligence: hybrid fuzzy-convolutional neural network for efficient chromosome abnormality classificationK Kiruthika, S Sarumathi, M Karpagam, et al.
Indian Journal of Biochemistry & Biophysics|June 5, 2015
Evaluation of different protein extraction methods for banana (Musa spp.) root proteome analysis by two-dimensional electrophoresisM Mayil Vaganan, S Sarumathi, A Nandakumar, et al.
Indian Journal of Experimental Biology|March 28, 2014
Phenylpropanoid enzymes, phenolic polymers and metabolites as chemical defenses to infection of Pratylenchus coffeae in roots of resistant and susceptible bananas (Musa spp.)M Mayil Vaganan, I Ravi, A Nandakumar, et al.
Scientific Reports|April 4, 2025
An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environmentM Karpagam, S Sarumathi, A Maheshwari, et al.
Pageof 1