S. Poonguzhali - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 6 from 6

2023

Performance improvement and complexity reduction in the classification of EMG signals with mRMR-based CNN-KNN combined modelX. Little Flower, S. Poonguzhali. jifs, 44(2):2577-2591, 2023. [doi]

A resistive force correlated electromyogram feature selection method for muscle strength predictionS. Saranya, S. Poonguzhali. bspc, 79(Part):104174, 2023. [doi]

Early diagnosis of autism using indian autism grading toolC. S. Kanimozhi Selvi, D. Jayaprakash, S. Poonguzhali. jifs, 44(3):3851-3865, 2023. [doi]

2022

Machine learning-based approach for identifying mental workload of pilotsK. Mohanavelu, S. Poonguzhali, A. Janani, S. Vinutha. bspc, 75:103623, 2022. [doi]

2021

Design of text sentiment analysis tool using feature extraction based on fusing machine learning algorithmsP. Ajitha, A. Sivasangari, R. Immanuel Rajkumar, S. Poonguzhali. jifs, 40(4):6375-6383, 2021. [doi]

2006

Performance Evaluation of Feature Extraction methods for Classifying Abnormalities in Ultrasound Liver Images using Neural NetworkS. Poonguzhali, G. Ravindran. embc 2006: 4791-4794 [doi]

Sign in or sign up to see more results.

runs on WebDSL