M. Hariharan

发表

Non-invasive techniques to assess muscle fatigue using biosensors: A review

Mohamed Sarillee, M. Hariharan, M. N. Anas, 2014, 2014 IEEE 5th Control and System Graduate Research Colloquium.

SPEECH EMOTION RECOGNITION USING STATIONARY WAVELET TRANSFORM AND TIMBRAL TEXTURE FEATURES

S. Yaacob, M. Hariharan, M. N. Hasrul, 2014 .

Optimal selection of mother wavelet for accurate infant cry classification

S. Yaacob, W. Khairunizam, M. Hariharan, 2014, Australasian Physical & Engineering Sciences in Medicine.

SUBTRACTIVE CLUSTERING BASED FEATURE ENHANCEMENT FOR ISOLATED MALAY SPEECH RECOGNITION

C. Y. Fook, S. Yaacob, M. Hariharan, 2016 .

FEATURE REDUCTION USING LOCALLY LINEAR EMBEDDING FOR CLASSIFICATION MUSCLE FATIGUE

Q. W. Oung, M. Sarillee, M. Hariharan, 2016 .

Time-Frequency Signal Processing for Automated Infant Cry Classification

Nisha, S. A. Bakar, I. Zunaidi, 2018 .

PREDICTION OF BODY MASS INDEX (BMI) USING SPEECH SIGNALS WITH WAVELET PACKET BASED FEATURES

S. Yaacob, M. Hariharan, M. Omar, 2016 .

Identification of Malay Stop Consonants Based on MFCC &Rasta PLP Features Using K-NN Classifier for Cued Speech Application

M. Y. Zulkhairi, M. Hariharan, Z. Zaridahm, 2018 .

Automatic Infant Cry Classification Using Radial Basis Function Network

M. Hariharan, N. Wahid, P. Saad, 2016 .

Development of Proposed Algorithm for Neurometric Index (NI) Based on EEG Signals

M. Hariharan, V. Vijean, A. Saidatul, 2018 .

Objective assessment of Parkinson's disease symptoms severity: A review

Q. W. Oung, C. Lee, S. Basah, 2015, 2015 2nd International Conference on Biomedical Engineering (ICoBE).

FACIAL EMOTION RECOGNITION BASED ON TWO-DIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND PCA PLUS LDA

S. Yaacob, A. Adom, M. Hariharan, 2015 .

A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal

K. YogeshC., Kemal Polat, Abdul Hamid Adom, 2017, Expert Syst. Appl..

Classification of speech dysfluencies with MFCC and LPCC features

Sazali Yaacob, M. Hariharan, Lim Sin Chee, 2012, Expert Syst. Appl..

Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques

Sazali Yaacob, M. Hariharan, Lim Sin Chee, 2012, Journal of Medical Systems.

Feature extraction for biometric recognition with photoplethysmography signals

M. Hariharan, Ahmet Resit Kavsaoglu, Kemal Polat, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Wavelet based approach for the investigation of vision impairments using single trial VEPs

M. Hariharan, S. Yaacob, V. Vijean, 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

Objective analysis of vision impairments using single trial VEPs

M. Hariharan, S. Yaacob, V. Vijean, 2012, 2012 International Conference on Biomedical Engineering (ICoBE).

Applications of visually evoked potentials in ocular diseases: A guided tour

M. Hariharan, Vikneswaran Vijean, Sazali Yaacob, 2011, 2011 IEEE Student Conference on Research and Development.

Discrimination of vision impairments using single trial VEPs

Sazali Yaacob, M. Hariharan, Vikneswaran Vijean, 2011, 2011 IEEE International Conference on Control System, Computing and Engineering.

A new hybrid intelligent system for accurate detection of Parkinson's disease

M. Hariharan, Kemal Polat, R. Sindhu, 2014, Comput. Methods Programs Biomed..

Body Mass Index (BMI) Of Normal and Overweight/Obese Individuals Based on Speech Signals

M. Hariharan, C. Y. Fook, C. C. Lim, 2018 .

Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity

M. Hariharan, Qi Wei Oung, Vikneswaran Vijean, 2018, Journal of Medical Systems.

Bispectral features and mean shift clustering for stress and emotion recognition from natural speech

K. YogeshC., Kemal Polat, Abdul Hamid Adom, 2017, Comput. Electr. Eng..

Analyzing selected visual anomaly through ST-based multi-resolution VEP decomposition

M. Hariharan, Vikneswaran Vijean, M. N. Mansor, 2016, 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA).

Wearable multimodal sensors for evaluation of patients with Parkinson disease

Mohamed Sarillee, M. Hariharan, Qi Wei Oung, 2015, 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE).

Characterizing selected visual anomaly through wavelet decomposition of evoked responses

M. Hariharan, Vikneswaran Vijean, Sazali Yaacob, 2015, 2015 2nd International Conference on Biomedical Engineering (ICoBE).

A new feature constituting approach to detection of vocal fold pathology

Sazali Yaacob, M. Hariharan, Kemal Polat, 2014, Int. J. Syst. Sci..

Infant cry classification: Time frequency analysis

Sazali Yaacob, M. Hariharan, Wan Khairunizam, 2013, 2013 IEEE International Conference on Control System, Computing and Engineering.

A hybrid expert system approach for telemonitoring of vocal fold pathology

Sazali Yaacob, M. Hariharan, Kemal Polat, 2013, Appl. Soft Comput..

A comparative study of wavelet families for classification of wrist motions

Sazali Yaacob, M. Hariharan, R. Sindhu, 2012, Comput. Electr. Eng..

Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks

Sazali Yaacob, M. Hariharan, Wan Khairunizam, 2012, Expert Syst. Appl..

Performance comparison of Daubechies wavelet family in infant cry classification

M. Hariharan, S. Yaacob, V. Vijean, 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

Pathological infant cry analysis using wavelet packet transform and probabilistic neural network

Sazali Yaacob, M. Hariharan, Saidatul Ardeenawatie Awang, 2011, Expert Syst. Appl..

Detection of vocal fold paralysis and oedema using time-domain features and Probabilistic Neural Network

Sazali Yaacob, Muthusamy Hariharan, M. P. Paulraj, 2011 .

Analysis of Infant Cry Through Weighted Linear Prediction Cepstral Coefficients and Probabilistic Neural Network

Sazali Yaacob, M. Hariharan, Lim Sin Chee, 2012, Journal of Medical Systems.

Time-Domain Features And Probabilistic Neural Network For The Detection Of Vocal Fold Pathology

Sazali Yaacob, Muthusamy Hariharan, M. P. Paulraj, 2010 .

Non-invasive pathological voice classifications using linear and non-linear classifiers

Muthusamy Hariharan, M. Hariharan, 2010 .

A Novel Clinical Decision Support System Using Improved Adaptive Genetic Algorithm for the Assessment of Fetal Well-Being

M. Hariharan, Asral Bahari Jambek, Sindhu Ravindran, 2015, Comput. Math. Methods Medicine.

AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions

M. Hariharan, R. Menaka, R. Karthik, 2021, IRBM.

Jaundice in Newborn Monitoring using Color Detection Method

Sazali Yaacob, Ahmad Kadri Junoh, Muhammad Naufal Mansor, 2012 .

Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials

Sazali Yaacob, M. Hariharan, Abdul Hamid Adom, 2013, Comput. Electr. Eng..

An improved elephant herding optimization using sine-cosine mechanism and opposition based learning for global optimization problems

Sazali Yaacob, M. Hariharan, Kemal Polat, 2021, Expert Syst. Appl..

Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism

M. Hariharan, Ruzelita Ngadiran, R. Sindhu, 2017, Neural Comput. Appl..

Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models

M. Hariharan, Kemal Polat, H. Erdinc Kocer, 2015, Appl. Soft Comput..

Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features

Kemal Polat, Muthusamy Hariharan, A. Reşit Kavsaoğlu, 2015, Appl. Soft Comput..

Facial emotion recognition using empirical mode decomposition

Sazali Yaacob, M. Hariharan, Abdul Hamid Adom, 2015, Expert Syst. Appl..

Mental tasks classifications using S-transform for BCI applications

M. Hariharan, Vikneswaran Vijean, Sazali Yaacob, 2011, 2011 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT).

Use of technological tools for Parkinson's disease early detection: A review

Sazali Yaacob, Mohamed Sarillee, M. Hariharan, 2014, 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).

Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech

K. YogeshC., Kemal Polat, Abdul Hamid Adom, 2017, Appl. Soft Comput..

A Hybrid SCA Inspired BBO for Feature Selection Problems

Kemal Polat, Ruzelita Ngadiran, Yasmin Mohd Yacob, 2019, Mathematical Problems in Engineering.

Hybrid feature extraction for facial emotion recognition

Sazali Yaacob, M. Hariharan, Abdul Hamid Adom, 2014, Int. J. Intell. Syst. Technol. Appl..

Luminance Sticker Based Facial Expression Recognition Using Discrete Wavelet Transform for Physically Disabled Persons

M. Hariharan, R. Nagarajan, M. Satiyan, 2012, Journal of Medical Systems.

Comparison of performance using Daubechies Wavelet family for facial expression recognition

M. Hariharan, R. Nagarajan, M. Satiyan, 2010, 2010 6th International Colloquium on Signal Processing & its Applications.

Recognition of Facial Expression Using Haar Wavelet Transform

M. Hariharan, R. Nagarajan, M. Satiyan, 2013 .

Technologies for Assessment of Motor Disorders in Parkinson’s Disease: A Review

Sazali Yaacob, Mohamed Sarillee, M. Hariharan, 2015, Sensors.

A study of human emotional: Review

M. Hariharan, S. N. Basah, S. Basah, 2012, International Conference on Biomedical Engineering.

Discrete wavelet transform in recognition human emotional movement through knocking

Sazali Yaacob, M. Hariharan, Nurnadia M. Khair, 2013, 2013 IEEE International Conference on Control System, Computing and Engineering.

Classification of muscle fatigue condition using multi-sensors

Mohamed Sarillee, M. Hariharan, M. N. Anas, 2015, 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE).

Hybrid PSOGSA Algorithm and Nonlinear Features for Prediction Body Mass Index (BMI) from Speech Signals

Sazali Yaacob, Muthusamy Hariharan, Chawki Berkai, 2017 .

Prediction of body mass index using speech signals: A review

Sazali Yaacob, M. Hariharan, Chawki Berkai, 2015, 2015 2nd International Conference on Biomedical Engineering (ICoBE).

Optimal selection of mother wavelet for accurate infant cry classification

S. Yaacob, W. Khairunizam, M. Hariharan, 2014, Australasian Physical & Engineering Sciences in Medicine.

A hybrid expert system for automatic detection of voice disorders

M. Hariharan, R. Sindhu, S. C. Neoh, 2014, Int. J. Medical Eng. Informatics.

Automatic Infant Cry Pattern Classification for a Multiclass Problem

M. Hariharan, P. Saad, N. S. A. Wahid, 2016 .

Automatic classification of infant cry: A review

M. Hariharan, S. Yaacob, W. Khairunizam, 2012, 2012 International Conference on Biomedical Engineering (ICoBE).

Feature extraction using Radon transform and Discrete Wavelet Transform for facial emotion recognition

Muthusamy Hariharan, Hasimah Ali, Vinothan Sritharan, 2016, 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA).

Human Affective (Emotion) behaviour analysis using speech signals: A review

M. Hariharan, S. Yaacob, M. N. Hasrul, 2012, 2012 International Conference on Biomedical Engineering (ICoBE).

Estimation of BMI status via speech signals using short-term cepstral features

Sazali Yaacob, M. Hariharan, Chawki Berkai, 2015, 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE).

New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method

Sazali Yaacob, M. Hariharan, M. N. Mansor, 2013, Neurocomputing.

Preemies Birth Monitoring using Color Detection Method

A. K. Junoh, S.H.F.S. Ahmad Jamil, M. N. Rejab, 2012 .

Locality sensitivity discriminant analysis-based feature ranking of human emotion actions recognition

M. Hariharan, Nurnadia M. Khair, S. Yaacob, 2015, Journal of physical therapy science.

Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification

Sazali Yaacob, M. Hariharan, Kemal Polat, 2018, Comput. Methods Programs Biomed..

Time–frequency analysis in infant cry classification using quadratic time frequency distributions

W. Khairunizam, M. Hariharan, J. Saraswathy, 2018 .

Time-frequency analysis-based method for application of infant cry classification

Wan Khairunizam, Sazali Yaacob, Muthusamy Hariharan, 2020, Int. J. Medical Eng. Informatics.

Infant Cry Classification Using Dual Tree Complex Wavelet Transform Features

Haniza Yazid, Muthusamy Hariharan, Lim Chee Chin, 2018 .

Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network

Sazali Yaacob, M. Hariharan, R. Sindhu, 2012, Comput. Methods Programs Biomed..

Analysis of Infant Cry Through Weighted Linear Prediction Cepstral Coefficients and Probabilistic Neural Network

S. Yaacob, M. Hariharan, L. Chee, 2012, Journal of Medical Systems.

Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques

Ooi Chia Ai, S. Yaacob, M. Hariharan, 2012, Journal of Medical Systems.

A review of Yorùbá Automatic Speech Recognition

M. Hariharan, Shahrul Azmi Mohd Yusof, Abdulwahab Funsho Atanda, 2013, 2013 IEEE 3rd International Conference on System Engineering and Technology.

omparative Study of Extended Kalman Filter and Particle Filter for Attitude Estimation in Gyroless Low Earth Orbit Spacecraft

Sazali Yaacob, M. Hariharan, Norhizam Hamzah, 2015, ICCSAMA.