default search action
Yuvaraj Rajamanickam
Person information
- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Other persons with the same name
- R. Yuvaraj 0002 — Anna University, Chennai, India
- R. Yuvaraj 0003 — Excel Engineering College, Namakkal, India
- R. Yuvaraj 0004 — IIIT Allahabad, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j15]Abirami Selvaraj, Tikaram
, M. Kathiravan, Yuvaraj Rajamanickam
Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. IEEE Access 12: 136524-136541 (2024) - [c7]Yuvaraj Rajamanickam, S. Samyuktha, Jack Fogarty, Jun Song Huang, Samuel Tan, Teck Kiong Wong:
Optimal EEG Time Window Length for Boredom Classification Using Combined Non-Linear Features. EUSIPCO 2024: 1756-1760 - 2023
- [j14]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) - [j13]B. Divya, N. Udayakumar, Yuvaraj Rajamanickam
Classification of low-functioning and high-functioning autism using task-based EEG signals. Biomed. Signal Process. Control. 85: 105074 (2023) - [j12]Yuvaraj Rajamanickam
Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings. Sensors 23(2): 915 (2023) - [c6]Abirami Selvaraj, Swarubini PJ
Multi-Class Seizure Type Classification Using Features Extracted from the EEG. ICIMTH 2023: 68-71 - [c5]Abdul Aleem Shaik Gadda
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. MIE 2023: 232-236 - 2022
- [j11]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) - [j10]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) - 2021
- [j9]Rishabh Bajpai
Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach. Comput. Biol. Medicine 133: 104434 (2021) - [j8]John Thomas
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31(5): 2050074:1-2050074:16 (2021) - [j7]Thangavel Prasanth
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31(8): 2150032:1-2150032:16 (2021) - 2020
- [j6]John Thomas
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020) - [j5]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) - [c4]Thangavel Prasanth
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 2020: 3703-3706
2010 – 2019
- 2019
- [c3]Periyamolapalayam Allimuthu Karthick, Kai Rui Wan, R. Yuvaraj
Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. EMBC 2019: 4164-4167 - 2018
- [j4]Yuvaraj Rajamanickam
A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals. Neural Comput. Appl. 30(4): 1225-1235 (2018) - [c2]Yuvaraj Rajamanickam
A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC 2018: 368-372 - 2017
- [j3]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) - [j2]Yogesh C. K., Muthusamy Hariharan, Yuvaraj Rajamanickam
Bispectral features and mean shift clustering for stress and emotion recognition from natural speech. Comput. Electr. Eng. 62: 676-691 (2017) - [c1]Aleksandra Kawala-Janik
Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals. RRNR 2017: 63-73 - [i1]Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels:
Neurology-as-a-Service for the Developing World. CoRR abs/1711.06195 (2017) - 2014
- [j1]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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: