Data Analytics for Real Time Monitoring and Prediction of Pollution in Chennai
Other
Role: Principal InvestigatorGrant: Studies on social and behavioural sciences and linguistics
IDENTIFICATION AND CLASSIFICATION OF TUMOR FROM SPINAL CORD MAGNETIC RESONANCE IMAGE
UniversityUNIVERSITY OF MADRAS
Year2020
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A PARALLEL INTEGRATED METAHEURISTICS METHOD FOR FEATURE SELECTION AND ENSEMBLE INCREMENTAL DEEP MULTIPLE LAYER PERCEPTRON MODEL FOR CLASSIFICATION IN BIG DATA ANALYTICS
UniversityUNIVERSITY OF MADRAS
Year2022
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Ensemble incremental deep multiple layer perceptron model – Sentiment Analysis Application
Renuka Devi D
Sasikala S
-
Application No. :
202241016214 A
Filed :
30-11--0001
Published :
30-11--0001Published
Scholarly Publications
Identification of Haemorrhage in Brain MRI Using Segmentation Techniques
Journal Article
Year: 2018.
Authors: Aafreen, ]; Sasikala, ]
Identification of Abnormality in Spinal cord Using IP-FCM Clustering Algorithm
Other
Authors: Shyni, S; Mary, Carmel; Sasikala, S
A Review on the Segmentation of Brain Haemorrhage Images Using Brain MRI and Ct Scan
Journal Article
Year: 2007.
Authors: Sasikala, S; Nawresh, Aafreen
Remotely Sensed Image (RSI) Analysis for feature extraction using Color map Indexing Classification
Authors: Research Scholar, Mother Theresa Women’s University, Kodaikanal; S. Sasikala; N. Radhakrishnan; Managing Director, Geosensing Information Pvt., Ltd.,Chennai
Image mining and automatic feature extraction from remotely sensed image (RSI) using cubical distance methods
Journal Article
Year: 2013.
Authors: Sasikala, S.; Radhakrishnan, N.
Improving Classification Accuracy based on Random Forest Model through Weighted Sampling for Noisy Data with Linear Decision Boundary