An investigation on visual and audiovisual stimulus based emotion recognition using EEG. - M. Murugappan; Mohd Rizon Bin Mohammed Juhari; Nagarajan Ramachandran; Sazali Yaacob (Int. J. Medical Eng. Informatics, 2009)

ECG signals based mental stress assessment using wavelet transform. - P. Karthikeyan; M. Murugappan; Sazali Yaacob (ICCSCE, 2011)

Detecting Driver Drowsiness Based on Sensors: A Review. - Arun Sahayadhas; Kenneth Sundaraj; M. Murugappan (Sensors, 2012)

Emotion Detection from QRS Complex of ECG Signals Using Hurst Exponent for Different Age Groups. - S. Jerritta; M. Murugappan; Wan Khairunizam; Sazali Yaacob (ACII, 2013)

Methods and approaches on inferring human emotional stress changes through physiological signals: a review. - Siao Zheng Bong; M. Murugappan; Sazali Yaacob (Int. J. Medical Eng. Informatics, 2013)

Development of EEG data acquisition device by using single board computer. - Mousa Kathim Wali; M. Murugappan; R. Badlishah Ahmmad (Int. J. Medical Eng. Informatics, 2013)

Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. - Yuvaraj Rajamanickam; M. Murugappan; Norlinah Mohamed Ibrahim; Kenneth Sundaraj; Mohd Omar; Khairiyah Mohamad; Rajkumar Palaniappan (Biomed. Signal Process. Control., 2014)

Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform. - S. Jerritta; M. Murugappan; Wan Khairunizam; Sazali Yaacob (Expert Syst. J. Knowl. Eng., 2014)

Hospital nurse following robot: hardware development and sensor integration. - Bukhari Ilias; R. Nagarajan; M. Murugappan; Khaled Helmy; Awang Sabri Awang Omar; Muhammad Asyraf Abdul Rahman (Int. J. Medical Eng. Informatics, 2014)

Physiological signal based detection of driver hypovigilance using higher order spectra. - Arun Sahayadhas; Kenneth Sundaraj; M. Murugappan; Rajkumar Palaniappan (Expert Syst. Appl., 2015)

Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals. - Siao Zheng Bong; Wan Khairunizam; M. Murugappan; Norlinah Mohamed Ibrahim; Yuvaraj Rajamanickam; Khairiyah Mohamad (Biomed. Signal Process. Control., 2017)

Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments. - Ramaswamy Palaniappan; Aruna Duraisingam; Nithyakalyani Chinnaiah; Murugappan Murugappan (HCI (15), 2019)

Nipple Segmentation and Localization Using Modified U-Net on Breast Ultrasound Images. - Zhemin Zhuang; Alex Noel Joseph Raj; Atyant Jain; Ruban Nersisson; Saksham Chaurasia; Nan Li; M. Lakshmanan; M. Murugappan (J. Medical Imaging Health Informatics, 2019)

A deep learning approach for Parkinson's disease diagnosis from EEG signals. - Shu Lih Oh; Yuki Hagiwara; U. Raghavendra; Yuvaraj Rajamanickam; Arunkumar N.; M. Murugappan; U. Rajendra Acharya (Neural Comput. Appl., 2020)

Correction: Sahayadhas, A., et al. Detecting Driver Drowsiness Based on Sensors: A Review. Sensors 2012, 12, 16937-16953. - Arun Sahayadhas; Kenneth Sundaraj; Murugappan Murugappan (Sensors, 2021)

Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm. - Bharathi Deepa; M. Murugappan; M. G. Sumithra 001; Mufti Mahmud; Mabrook S. Al-Rakhami (IEEE Access, 2022)

EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. - Muhammad Najam Dar; Muhammad Usman Akram; Yuvaraj Rajamanickam; Sajid Gul Khawaja; M. Murugappan (Comput. Biol. Medicine, 2022)

Automated emotion recognition: Current trends and future perspectives. - M. Maithri; U. Raghavendra; Anjan Gudigar; Jyothi Samanth; Prabal Datta Barua; Murugappan Murugappan; Yashas Chakole; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. - Ravikiran Parameshwara; Soujanya Narayana; Murugappan Murugappan; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (CoRR, 2022)

Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. - Sakib Mahmud; Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mohammed AbdulMoniem; Mamun Bin Ibne Reaz; Zaid Bin Mahbub; Kishor Kumar Sadasivuni; M. Murugappan; Mohammed Alhatou (CoRR, 2022)

Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. - Ankit A. Bhurane; Shivani Dhok; Manish Sharma 001; Yuvaraj Rajamanickam; Murugappan Murugappan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network. - Chandran Venkatesan; M. G. Sumithra 001; M. Murugappan (Neural Process. Lett., 2022)

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. - Andrei Velichko; Maksim Belyaev; Yuriy Izotov; Murugappan Murugappan; Hanif Heidari (Algorithms, 2023)

A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features. - Parikha Chawla; Shashi B. Rana; Hardeep Kaur; Kuldeep Singh 004; Yuvaraj Rajamanickam; M. Murugappan (Biomed. Signal Process. Control., 2023)

Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation. - Andrei Velichko; Maksim Belyaev; Yuriy Izotov; Murugappan Murugappan; Hanif Heidari (CoRR, 2023)

Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment. - Maksim Belyaev; Murugappan Murugappan; Andrei Velichko; Dmitry G. Korzun (CoRR, 2023)

Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study. - Murugappan Murugappan; Rashmi Nair; Krishnan Saravanan 002 (J. Theor. Appl. Electron. Commer. Res., 2023)

Automated semantic lung segmentation in chest CT images using deep neural network. - M. Murugappan; Ali K. Bourisly; N. B. Prakash 001; M. G. Sumithra 001; U. Rajendra Acharya (Neural Comput. Appl., 2023)

Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease. - Maksim Belyaev; Murugappan Murugappan; Andrei Velichko; Dmitry G. Korzun (Sensors, 2023)

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. - Proma Dutta; Kanchon Kanti Podder; Md. Shaheenur Islam Sumon; Muhammad E. H. Chowdhury; Amith Khandakar; Nasser Al-Emadi; Moajjem Hossain Chowdhury; M. Murugappan; Mohamed Arselene Ayari; Sakib Mahmud; S. M. Muyeen (IEEE Access, 2024)

Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure. - M. Nithya Mylakumar; B. Geethanjali; Jagannath Mohan; Raamanarayanan AnanthaNarayanan; M. Murugappan; Muhammad E. H. Chowdhury (IEEE Access, 2024)

Automated Recognition of Teacher and Student Activities in the Classroom: A Deep Learning Framework. - Yuvaraj Rajamanickam; A. Amalin Prince; M. Murugappan (IEEE Access, 2024)

A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns. - Yuvaraj Rajamanickam; Shivam Chadha; A. Amalin Prince; M. Murugappan; Md. Sakib Bin Islam; Md. Shaheenur Islam Sumon; Muhammad E. H. Chowdhury (Algorithms, 2024)

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. - 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 001; Amith Khandakar (Biomed. Signal Process. Control., 2024)

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS. - Annika Stier; Alberto Bottino; M. Boesl; Martin Campos Pinto; Thomas Hayward-Schneider; David Coster; A. Bergmann; M. Murugappan; Stephan Brunner; Laurent Villard; Frank Jenko (Comput. Phys. Commun., 2024)

Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model. - Abdus Salam; S. M. Nahid Hasan; Md. Jawadul Karim; Shamim Anower; Md. Nahiduzzaman; Muhammad E. H. Chowdhury; M. Murugappan (Int. J. Imaging Syst. Technol., 2024)

WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification. - Jeneessha P; Balasubramanian Vinoth Kumar; M. Murugappan (Mach. Learn. Sci. Technol., 2024)

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. - Rusab Sarmun; Muhammad E. H. Chowdhury; M. Murugappan; Ahmed Aqel; Maymouna Ezzuddin; Syed Mahfuzur Rahman; Amith Khandakar; Sanzida Akter; Rashad Alfkey; Anwarul Hasan (Cogn. Comput., 2024)

Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. - Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Muhammad E. H. Chowdhury; Abdulrahman Alqahtani; M. Murugappan (Hum. Centric Intell. Syst., 2024)

Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images. - G. R. Hemalakshmi; M. Murugappan; Mohamed Yacin Sikkandar; Sabarunisha Begum Sheik; N. B. Prakash 001 (Neural Comput. Appl., 2024)

Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. - Chetan Rakshe; Suja Kunneth; Soumya Sundaram; Murugappan Murugappan; Jac Fredo Agastinose Ronickom (Neural Comput. Appl., 2024)

Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. - Chetan Rakshe; Suja Kunneth; Soumya Sundaram; Murugappan Murugappan; Jac Fredo Agastinose Ronickom (Neural Comput. Appl., 2024)

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification. - Rajendra Babu Chikkala; Chinta Anuradha; Patnala S. R. Chandra Murty; S. Rajeswari; N. Rajeswaran; M. Murugappan; Muhammad E. H. Chowdhury (IEEE Access, 2025)

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition. - Hanif Heidari; M. Murugappan; Javeed Shaikh-Mohammed; Muhammad E. H. Chowdhury (IEEE Access, 2025)

Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection. - A. M. Mutawa; G. R. Hemalakshmi; N. B. Prakash 001; M. Murugappan (IEEE Access, 2025)

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm. - Prabu Selvam; R. Rajasekar; C. Gunasundari; S. Janu Priya; M. Murugappan; Muhammad E. H. Chowdhury (IEEE Access, 2025)

YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images. - Prabu Selvam; P. Shanmuga Sundari; M. Tamilselvi; T. Suresh; M. Murugappan; Muhammad E. H. Chowdhury (IEEE Access, 2025)

A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients. - Johayra Prithula; Khandaker Reajul Islam; Jaya Kumar; Toh Leong Tan; Mamun Bin Ibne Reaz; Tawsifur Rahman; Susu M. Zughaier; Muhammad Salman Khan 001; M. Murugappan; Muhammad E. H. Chowdhury (Comput. Biol. Medicine, 2025)

Multicentered Data Based Polyp Detection Using Colonoscopy Images Using DNN. - Abdus Salam; Moajjem Hossain Chowdhury; M. Murugappan; Muhammad E. H. Chowdhury (Int. J. Imaging Syst. Technol., 2025)

CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram. - Alvee Hassan; Rusab Sarmun; Muhammad E. H. Chowdhury; M. Murugappan; Md Sakib Abrar Hossain; Sakib Mahmud; Abdulrahman Alqahtani; Sohaib Bassam Zoghoul; Amith Khandakar; Susu M. Zughaier; Somaya Al-Máadeed; Anwarul Hasan (CoRR, 2025)

CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data. - Md. Shaheenur Islam Sumon; Md. Sakib Bin Islam; Md. Sohanur Rahman; Md Sakib Abrar Hossain; Amith Khandakar; Anwarul Hasan; M. Murugappan; Muhammad E. H. Chowdhury (Health Inf. Sci. Syst., 2025)