SS
Subburam Sivakumar
Cardamom Planters’ Association College, Cardamom Planters' Association College, Madurai Kamaraj University, Birla Institute of Technology and Science, Pilani, National Engineering College
Employment
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Cardamom Planters’ Association College Principal i/c2020 - Present
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Cardamom Planters’ Association College Associate Professor2006 - 2020
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Cardamom Planters’ Association College Selection Grade Lecturer2000 - 2006
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Cardamom Planters' Association College Senior Scale Lecturer1997 - 2000
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Cardamom Planters' Association College Lecturer1989 - 1997
Education
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Madurai Kamaraj University Ph.D. (Computer Science)? - 2010
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Birla Institute of Technology and Science, Pilani M.S. (Software System)? - 1996
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National Engineering College B.E (Computer Engineering)? - 1988
Projects & Funding
Projects & funding information is unavailable.
Publications (62)
- Decision-Level Fusion of Face and Gait Cues Using Fusion of Median Local Binary Pattern (Median-LBP) and Gabor Scale Average (GSA)-Based PCA → LDA Save
- Fusion of LBP and Median LBP for Dominant Region Based Multimodal Recognition Using Imperfect Face and Gait Cues Save
- A Proficient Feature Extraction of Face and Gait Cues Using Local Gabor Scale Average Binary Patterns (GSA-LBP) for Multimodal Recognition Save
- Fabrication of MnWO4 modified ZnS nanocomposite as an effective nanoadsorbent: Experimental investigation and neural network modeling Save
- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease Save
- Modified Exigent Features Block in JAN Net for Analysing SPECT Scan Images to Diagnose Early-Stage Parkinson's Disease. Save
- A Genetic-Based Virtual Machine Placement Algorithm for Cloud Datacenter Save
- A Study on Prediction of Diabetic Coronary Heart Disease Using Machine Learning Algorithms Save
- A competent multimodal recognition using imperfect region based face and gait cues using Median-LBPF and Median-LBPG based PCA followed by LDA Save
- An Efficient Gabor Scale Average (GSA) based PCA to LDA Feature Extraction of Face and Gait Cues for Multimodal Classifier Save