Yuvaraj Rajamanickam

25 papers Misc 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Boredom Recognition Using Multimodal Physiological Signals. IEEE Trans. Affect. Comput. Yuvaraj Rajamanickam, Sampathraman Samyuktha, Jack Fogarty, Jun Song Huang, Samuel Tan, Teck Kiong Wong
2025	J	`jnl`	Classroom activity recognition using hybrid 3D-CNNs and visualization of action features with Grad-CAM. Neurocomputing Yuvaraj Rajamanickam, Jack Fogarty, Ratnavel Rajalakshmi, Ritika Sarkar
2024	J	`jnl`	A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns. Algorithms Yuvaraj Rajamanickam, Shivam Chadha, A. Amalin Prince, M. Murugappan, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury
2024	J	`jnl`	Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. IEEE Access Abirami Selvaraj, Tikaram, M. Kathiravan, Yuvaraj Rajamanickam, Ramshekhar N. Menon, John Thomas, Periyamolapalayam Allimuthu Karthick, A. Amalin Prince, Jac Fredo Agastinose Ronickom
2024	J	`jnl`	Automated Recognition of Teacher and Student Activities in the Classroom: A Deep Learning Framework. IEEE Access Yuvaraj Rajamanickam, A. Amalin Prince, M. Murugappan
2024	—	`conf`	Optimal EEG Time Window Length for Boredom Classification Using Combined Non-Linear Features. EUSIPCO Yuvaraj Rajamanickam, S. Samyuktha, Jack Fogarty, Jun Song Huang, Samuel Tan, Teck Kiong Wong
2023	J	`jnl`	A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features. Biomed. Signal Process. Control. Parikha Chawla, Shashi B. Rana, Hardeep Kaur, Kuldeep Singh, Yuvaraj Rajamanickam, M. Murugappan
2023	J	`jnl`	Classification of low-functioning and high-functioning autism using task-based EEG signals. Biomed. Signal Process. Control. B. Divya, N. Udayakumar, Yuvaraj Rajamanickam, A. Kavitha
2023	J	`jnl`	Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings. Sensors Yuvaraj Rajamanickam, Prasanth Thagavel, John Thomas, Jack Fogarty, Farhan Ali
2023	—	`conf`	Multi-Class Seizure Type Classification Using Features Extracted from the EEG. ICIMTH Abirami Selvaraj, Swarubini PJ, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
2023	—	`conf`	Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. MIE Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom
2022	J	`jnl`	Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. Expert Syst. J. Knowl. Eng. Ankit A. Bhurane, Shivani Dhok, Manish Sharma, Yuvaraj Rajamanickam, Murugappan Murugappan, U. Rajendra Acharya
2022	J	`jnl`	EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. Comput. Biol. Medicine Muhammad Najam Dar, Muhammad Usman Akram, Yuvaraj Rajamanickam, Sajid Gul Khawaja, M. Murugappan
2021	J	`jnl`	Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
2021	J	`jnl`	Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach. Comput. Biol. Medicine Rishabh Bajpai, Yuvaraj Rajamanickam, A. Amalin Prince
2021	J	`jnl`	Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
2020	J	`jnl`	A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya
2020	J	`jnl`	Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover
2018	Misc	`conf`	A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels
2018	J	`jnl`	A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals. Neural Comput. Appl. Yuvaraj Rajamanickam, U. Rajendra Acharya, Yuki Hagiwara
2017	J	`jnl`	Bispectral features and mean shift clustering for stress and emotion recognition from natural speech. Comput. Electr. Eng. Yogesh C. K., Muthusamy Hariharan, Yuvaraj Rajamanickam, Ruzelita Ngadiran, Abdul Hamid Adom, Sazali Yaacob, Kemal Polat
2017	—	`conf`	Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals. RRNR Aleksandra Kawala-Janik, Waldemar Bauer, Amir F. Al-Bakri, Chase Haddix, Yuvaraj Rajamanickam, Katarzyna Cichon, Wojciech Podraza
2017	J	`jnl`	Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals. Biomed. Signal Process. Control. Siao Zheng Bong, Wan Khairunizam, M. Murugappan, Norlinah Mohamed Ibrahim, Yuvaraj Rajamanickam, Khairiyah Mohamad
2017	J	`jnl`	Neurology-as-a-Service for the Developing World. CoRR Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels
2014	J	`jnl`	Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. Biomed. Signal Process. Control. Yuvaraj Rajamanickam, M. Murugappan, Norlinah Mohamed Ibrahim, Kenneth Sundaraj, Mohd Omar, Khairiyah Mohamad, Rajkumar Palaniappan