C Gunavathi|K Premalatha - JoVE Visualize

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International Journal of Data Mining and Bioinformatics|November 10, 2015

Cuckoo search optimisation for feature selection in cancer classification: a new approachC Gunavathi, K Premalatha

Progress in Biophysics and Molecular Biology|August 21, 2022

A survey on gene expression data analysis using deep learning methods for cancer diagnosisU Ravindran, C Gunavathi

BMC Medical Informatics and Decision Making|October 25, 2024

Deep learning assisted cancer disease prediction from gene expression data using WT-GANU Ravindran, C Gunavathi

Progress in Biophysics and Molecular Biology|October 1, 2019

Investigation of machine learning techniques on proteomics: A comprehensive surveyPravinkumar M Sonsare, C Gunavathi

Distributed and Parallel Databases|June 26, 2023

STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservationG Sathish Kumar, K Premalatha

Scientific Reports|April 28, 2026

A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offsR Arun, K Premalatha, S Kannimuthu

Indian Journal of Medical Microbiology|June 10, 2011

Correlation of TEM, SHV and CTX-M extended-spectrum beta lactamases among Enterobacteriaceae with their in vitro antimicrobial susceptibilityA Manoharan, K Premalatha, S Chatterjee, et al.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2015

Impact of symmetry breaking in networks of globally coupled oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

Physical Review. E|June 15, 2016

Different kinds of chimera death states in nonlocally coupled oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

Physical Review. E|August 31, 2016

Imperfectly synchronized states and chimera states in two interacting populations of nonlocally coupled Stuart-Landau oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

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Showing results (1-10 of 18) with videos related to

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International Journal of Data Mining and Bioinformatics|November 10, 2015

Cuckoo search optimisation for feature selection in cancer classification: a new approachC Gunavathi, K Premalatha

Progress in Biophysics and Molecular Biology|August 21, 2022

A survey on gene expression data analysis using deep learning methods for cancer diagnosisU Ravindran, C Gunavathi

BMC Medical Informatics and Decision Making|October 25, 2024

Deep learning assisted cancer disease prediction from gene expression data using WT-GANU Ravindran, C Gunavathi

Progress in Biophysics and Molecular Biology|October 1, 2019

Investigation of machine learning techniques on proteomics: A comprehensive surveyPravinkumar M Sonsare, C Gunavathi

Distributed and Parallel Databases|June 26, 2023

STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservationG Sathish Kumar, K Premalatha

Scientific Reports|April 28, 2026

A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offsR Arun, K Premalatha, S Kannimuthu

Indian Journal of Medical Microbiology|June 10, 2011

Correlation of TEM, SHV and CTX-M extended-spectrum beta lactamases among Enterobacteriaceae with their in vitro antimicrobial susceptibilityA Manoharan, K Premalatha, S Chatterjee, et al.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2015

Impact of symmetry breaking in networks of globally coupled oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

Physical Review. E|June 15, 2016

Different kinds of chimera death states in nonlocally coupled oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

Physical Review. E|August 31, 2016

Imperfectly synchronized states and chimera states in two interacting populations of nonlocally coupled Stuart-Landau oscillatorsK Premalatha, V K Chandrasekar, M Senthilvelan, et al.

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