S. Poonguzhali

发表

Face Photo Recognition using Sketch Image for Security System

A. Sivasangari, S. Poonguzhali, Immanuel Rajkumar, 2019, International Journal of Innovative Technology and Exploring Engineering.

A complete automatic region growing method for segmentation of masses on ultrasound images

G. Ravindran, S. Poonguzhali, G. Ravindran, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

Gaussian mixture model based clustering of Manual muscle testing grades using surface Electromyogram signals

S. Poonguzhali, S. Saranya, S. Karunakaran, 2020, Physical and Engineering Sciences in Medicine.

Analysis of Contourlet Texture Feature Extraction to Classify the Benign and Malignant Tumors from Breast Ultrasound Images

S. Poonguzhali, P. Telagarapu, 2014 .

Optimal Feature Selection and Automatic Classification of Abnormal Masses in Ultrasound Liver Images

G. Ravindran, S. Poonguzhali, B. Deepalakshmi, 2007, 2007 International Conference on Signal Processing, Communications and Networking.

Muscle activation based estimation of Knee joint angle using Surface Electromyography Signals

S. Poonguzhali, G. Saraswathy, S. Saranya, 2019, 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).

Analysis of Lower Extremity Muscle Activation Using EMG

S. Poonguzhali, S. Saranya, L. Vidhya, 2014 .

A Non-Invasive multi-faced problem-solving tool in a Dynamic sensor network for Pediatric Diabetes with Fall Detection

S. Poonguzhali, Rekha Chakravarthy, 2019, 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC).

EMG Analysis of Lumbar Muscle Activations During Resisted and Unresisted Core Strength Exercises

S. Poonguzhali, S. Saranya, S. Karunakaran, 2020 .

Review of gesture recognition gloves and its applications in thermal insulation and heat resistant

S. Poonguzhali, M. Neela Harish, 2022, Materials Today: Proceedings.

Gaussian mixture model based clustering of Manual muscle testing grades using surface Electromyogram signals

S. Poonguzhali, S. Saranya, S. Karunakaran, 2020, Physical and Engineering Sciences in Medicine.

Lung pattern classification for interstitial lung diseases using an ANN-back propagation network

D. Gowthami, S. Poonguzhali, C. Lakshmi Priya, 2017, 2017 International Conference on Communication and Signal Processing (ICCSP).

Design and development of hand gesture recognition system for speech impaired people

S. Poonguzhali, Neela Harish, S. Poonguzhali, 2015, 2015 International Conference on Industrial Instrumentation and Control (ICIC).

Cognitive Workload Analysis of Fighter Aircraft Pilots in Flight Simulator Environment

Srinivasan Jayaraman, S. Poonguzhali, Upendra K. Singh, 2020 .

High Performance Photonic Nanostructured Sensors for Smart Industries: Design and Analysis

Sathish Kumar Danasegaran, A. Sivasangari, S. Poonguzhali, 2022, Brazilian Journal of Physics.

A Novel Reconfigurable Antenna Architecture for Wireless Applications

A. Sivasangari, S. Poonguzhali, S. Lalithakumari, 2022, 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN).

Machine learning-based approach for identifying mental workload of pilots

S. Poonguzhali, A. Janani, K. Mohanavelu, 2022, Biomed. Signal Process. Control..

Automatic detection and classification of benign and malignant lesions in breast ultrasound images using texture morphological and fractal features

S. Poonguzhali, Telagarapu Prabhakar, S. Poonguzhali, 2017, 2017 10th Biomedical Engineering International Conference (BMEiCON).

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

S. Poonguzhali, X. L. Flower, 2022, J. Intell. Fuzzy Syst..

Utilization of IoT for a secured clinical information transmission and remote monitoring of patients

Avinash Sharma, A. Aranganathan, L. Megalan Leo, 2020 .

Dynamic cognitive workload assessment for fighter pilots in simulated fighter aircraft environment using EEG

Srinivasan Jayaraman, S. Poonguzhali, S Vinutha, 2020 .

Emotion recognition system for autism disordered people

S. Poonguzhali, P. Ajitha, A. Sivasangari, 2019, Journal of Ambient Intelligence and Humanized Computing.

Three-dimensional modelling of wheelchair contrived with lower limb exoskeleton for right hemiplegic dysfunction

S Poonguzhali, A N Nithyaa, N Vigneshwari, 2020, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Evaluation of feature extraction methods for classification of liver abnormalities in ultrasound images

S. Poonguzhali, . G.Ravindran, S. Poonguzhali, 2007 .

Radar Based Breast Cancer Detection UsingSAR

S. Poonguzhali, E.Vinodhini, R.Sreeja, 2014 .

Feature Based Active Contour Method for Automatic Detection of Breast Lesions Using Ultrasound Images

S. Poonguzhali, Telagarapu Prabhakar, S. Poonguzhali, 2014 .

Assessment of Texture Feature Extraction to Classify the Benign and Malignant Lesions from Breast Ultrasound Images

Telagarapu Prabhakar, S. Poonguzhali, S. Poonguzhali, 2018 .

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

P. Ajitha, A. Sivasangari, R. Immanuel Rajkumar, 2021, J. Intell. Fuzzy Syst..

Assessment of Human Fatigue during Physical Performance using Physiological Signals: A Review

S. Poonguzhali, K. Adalarasu, K. Mohanavelu, 2017 .

Potential Role of Electromyography in Kinesiology:A Review

S. Poonguzhali, S. Saranya, 2020, Indian Journal of Public Health Research & Development.

Automatic segmentation of multiple lesions in ultrasound breast image

S. Poonguzhali, R. Selvakumar, R. Chelladurai, 2018 .

A review on data mining techniques for Digital Mammographic Analysis

Ananthi Sheshasaayee, S. Poonguzhali, S. Poonguzhali, 2014 .