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ORCIDM. Murugappan
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2020 – today
- 2024
[j31]M. Nithya Mylakumar
, B. Geethanjali, Jagannath Mohan, Raamanarayanan AnanthaNarayanan, M. Murugappan, Muhammad E. H. Chowdhury:
Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure. IEEE Access 12: 143823-143841 (2024)- [j30]Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Seyed Mehdi Rakhtala, M. Murugappan, Sakib Mahmud, Md Nazmul Islam Shuzan, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai, Muhammad Salman Khan, Amith Khandakar:
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomed. Signal Process. Control. 89: 105687 (2024) - [j29]Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan:
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. Cogn. Comput. 16(3): 1413-1431 (2024) - [j28]Annika Stier, Alberto Bottino, M. Boesl, Martin Campos Pinto, Thomas Hayward-Schneider, David Coster, A. Bergmann, M. Murugappan, Stephan Brunner, Laurent Villard, Frank Jenko:
Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS. Comput. Phys. Commun. 299: 109155 (2024) - [j27]Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan:
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. Hum. Centric Intell. Syst. 4(2): 299-315 (2024) - [j26]Jeneessha P, Balasubramanian Vinoth Kumar, M. Murugappan:
WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification. Mach. Learn. Sci. Technol. 5(3): 35086 (2024) - [j25]G. R. Hemalakshmi, M. Murugappan, Mohamed Yacin Sikkandar, S. Sabarunisha Begum, N. B. Prakash:
Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images. Neural Comput. Appl. 36(16): 9171-9188 (2024) - [j24]Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom:
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. 36(20): 12565-12585 (2024) - [j23]Chetan Rakshe, Suja Kunneth, Soumya Sundaram, Murugappan Murugappan, Jac Fredo Agastinose Ronickom:
Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Comput. Appl. 36(20): 12587 (2024) - 2023
- [j22]Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms 16(5): 255 (2023) - [j21]Parikha Chawla, Shashi B. Rana, Hardeep Kaur, Kuldeep Singh, Yuvaraj Rajamanickam, M. Murugappan:
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features. Biomed. Signal Process. Control. 79(Part): 104116 (2023) - [j20]Murugappan Murugappan, Rashmi Nair, Krishnan Saravanan:
Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study. J. Theor. Appl. Electron. Commer. Res. 18(4): 1955-1970 (2023) - [j19]M. Murugappan, Ali K. Bourisly, N. B. Prakash, M. G. Sumithra, U. Rajendra Acharya:
Automated semantic lung segmentation in chest CT images using deep neural network. Neural Comput. Appl. 35(21): 15343-15364 (2023) - [j18]Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease. Sensors 23(20): 8609 (2023) - [i4]Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation. CoRR abs/2303.17995 (2023) - [i3]Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment. CoRR abs/2309.07134 (2023) - 2022
- [j17]Bharathi Deepa, M. Murugappan, M. G. Sumithra, Mufti Mahmud, Mabrook S. Al-Rakhami:
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm. IEEE Access 10: 3848-3863 (2022) - [j16]Muhammad Najam Dar, Muhammad Usman Akram, Yuvaraj Rajamanickam, Sajid Gul Khawaja, M. Murugappan:
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. Comput. Biol. Medicine 144: 105327 (2022) - [j15]M. Maithri, U. Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya:
Automated emotion recognition: Current trends and future perspectives. Comput. Methods Programs Biomed. 215: 106646 (2022) - [j14]Ankit A. Bhurane, Shivani Dhok, Manish Sharma, Yuvaraj Rajamanickam, Murugappan Murugappan, U. Rajendra Acharya:
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j13]Chandran Venkatesan, M. G. Sumithra, M. Murugappan:
NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network. Neural Process. Lett. 54(5): 3705-3726 (2022) - [i2]Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. CoRR abs/2202.12936 (2022) - [i1]Sakib Mahmud, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M. Murugappan, Mohammed Alhatou:
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. CoRR abs/2208.12201 (2022) - 2021
- [j12]Arun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan:
Correction: Sahayadhas, A., et al. Detecting Driver Drowsiness Based on Sensors: A Review. Sensors 2012, 12, 16937-16953. Sensors 21(2): 451 (2021) - 2020
- [j11]Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya:
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32(15): 10927-10933 (2020)
2010 – 2019
- 2019
- [j10]Zhemin Zhuang, Alex Noel Joseph Raj, Atyant Jain, Ruban Nersisson, Saksham Chaurasia, Nan Li, M. Lakshmanan, M. Murugappan:
Nipple Segmentation and Localization Using Modified U-Net on Breast Ultrasound Images. J. Medical Imaging Health Informatics 9(9): 1827-1837 (2019) - [c3]Ramaswamy Palaniappan, Aruna Duraisingam, Nithyakalyani Chinnaiah, Murugappan Murugappan:
Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments. HCI (15) 2019: 446-460 - 2017
- [j9]Siao Zheng Bong, Wan Khairunizam, M. Murugappan, Norlinah Mohamed Ibrahim, Yuvaraj Rajamanickam, Khairiyah Mohamad:
Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals. Biomed. Signal Process. Control. 36: 102-112 (2017) - 2015
- [j8]Arun Sahayadhas, Kenneth Sundaraj, M. Murugappan, Rajkumar Palaniappan:
Physiological signal based detection of driver hypovigilance using higher order spectra. Expert Syst. Appl. 42(22): 8669-8677 (2015) - 2014
- [j7]Yuvaraj Rajamanickam, M. Murugappan, Norlinah Mohamed Ibrahim, Kenneth Sundaraj, Mohd Omar, Khairiyah Mohamad, Rajkumar Palaniappan:
Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. Biomed. Signal Process. Control. 14: 108-116 (2014) - [j6]S. Jerritta, M. Murugappan, Wan Khairunizam, Sazali Yaacob:
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform. Expert Syst. J. Knowl. Eng. 31(2): 110-120 (2014) - [j5]Bukhari Ilias, R. Nagarajan, M. Murugappan, Khaled Helmy, Awang Sabri Awang Omar, Muhammad Asyraf Abdul Rahman:
Hospital nurse following robot: hardware development and sensor integration. Int. J. Medical Eng. Informatics 6(1): 1-13 (2014) - 2013
- [j4]Siao Zheng Bong, M. Murugappan, Sazali Yaacob:
Methods and approaches on inferring human emotional stress changes through physiological signals: a review. Int. J. Medical Eng. Informatics 5(2): 152-162 (2013) - [j3]Mousa Kathim Wali, M. Murugappan, R. Badlishah Ahmmad:
Development of EEG data acquisition device by using single board computer. Int. J. Medical Eng. Informatics 5(3): 191-200 (2013) - [c2]S. Jerritta, M. Murugappan, Wan Khairunizam, Sazali Yaacob:
Emotion Detection from QRS Complex of ECG Signals Using Hurst Exponent for Different Age Groups. ACII 2013: 849-854 - 2012
- [j2]Arun Sahayadhas, Kenneth Sundaraj, M. Murugappan:
Detecting Driver Drowsiness Based on Sensors: A Review. Sensors 12(12): 16937-16953 (2012) - 2011
- [c1]P. Karthikeyan, M. Murugappan, Sazali Yaacob:
ECG signals based mental stress assessment using wavelet transform. ICCSCE 2011: 258-262
2000 – 2009
- 2009
- [j1]M. Murugappan, Mohd Rizon Bin Mohammed Juhari, Nagarajan Ramachandran, Sazali Yaacob:
An investigation on visual and audiovisual stimulus based emotion recognition using EEG. Int. J. Medical Eng. Informatics 1(3): 342-356 (2009)
Coauthor Index
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