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M. Murugappan
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2020 – today
- 2024
- [j32]M. Nithya Mylakumar
, B. Geethanjali
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) - [j31]Moajjem Hossain Chowdhury
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomed. Signal Process. Control. 89: 105687 (2024) - [j30]Rusab Sarmun
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. Cogn. Comput. 16(3): 1413-1431 (2024) - [j29]Annika Stier
Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS. Comput. Phys. Commun. 299: 109155 (2024) - [j28]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) - [j27]Abdus Salam, S. M. Nahid Hasan, Md. Jawadul Karim
Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model. Int. J. Imaging Syst. Technol. 34(6) (2024) - [j26]Jeneessha P
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
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
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
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
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
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
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
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
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
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
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
Automated emotion recognition: Current trends and future perspectives. Comput. Methods Programs Biomed. 215: 106646 (2022) - [j14]Ankit A. Bhurane
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
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
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
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
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
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
Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments. HCI (15) 2019: 446-460 - 2017
- [j9]Siao Zheng Bong, Wan Khairunizam
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
Physiological signal based detection of driver hypovigilance using higher order spectra. Expert Syst. Appl. 42(22): 8669-8677 (2015) - 2014
- [j7]Yuvaraj Rajamanickam
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
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
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
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
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
Emotion Detection from QRS Complex of ECG Signals Using Hurst Exponent for Different Age Groups. ACII 2013: 849-854 - 2012
- [j2]Arun Sahayadhas
Detecting Driver Drowsiness Based on Sensors: A Review. Sensors 12(12): 16937-16953 (2012) - 2011
- [c1]P. Karthikeyan, M. Murugappan
ECG signals based mental stress assessment using wavelet transform. ICCSCE 2011: 258-262
2000 – 2009
- 2009
- [j1]M. Murugappan
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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last updated on 2024-12-23 19:29 CET by the dblp team
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