S. Poonguzhali

According to our database, S. Poonguzhali authored at least 8 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

Principal component analysis biplot visualization of electromyogram features for submaximal muscle strength grading.

S. Saranya, S. Poonguzhali

Comput. Biol. Medicine, 2024

2023

Early diagnosis of autism using indian autism grading tool.

C. S. Kanimozhi Selvi, D. Jayaprakash, S. Poonguzhali

J. Intell. Fuzzy Syst., 2023

Performance improvement and complexity reduction in the classification of EMG signals with mRMR-based CNN-KNN combined model.

X. Little Flower, S. Poonguzhali

J. Intell. Fuzzy Syst., 2023

A resistive force correlated electromyogram feature selection method for muscle strength prediction.

S. Saranya, S. Poonguzhali

Biomed. Signal Process. Control., 2023

2022

Machine learning-based approach for identifying mental workload of pilots.

K. Mohanavelu, S. Poonguzhali, A. Janani, S. Vinutha

Biomed. Signal Process. Control., 2022

2021

A sensor based intelligent system for classification and assistance of diabetes patients in telemedicine technology.

S. Poonguzhali, Rekha Chakravarthi

J. Intell. Fuzzy Syst., 2021

Design of text sentiment analysis tool using feature extraction based on fusing machine learning algorithms.

P. Ajitha, A. Sivasangari, R. Immanuel Rajkumar, S. Poonguzhali

J. Intell. Fuzzy Syst., 2021

2006

Performance Evaluation of Feature Extraction methods for Classifying Abnormalities in Ultrasound Liver Images using Neural Network.

S. Poonguzhali, Gurubatham Ravindran

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006