Suivre
Jac Fredo Agastinose Ronickom
Titre
Citée par
Citée par
Année
Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation
JFA Ronicko, J Thomas, P Thangavel, V Koneru, G Langs, J Dauwels
Journal of Neuroscience Methods 345, 108884, 2020
532020
Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity
MA Reiter, A Jahedi, ARJ Fredo, I Fishman, B Bailey, RA Müller
Neural Computing and Applications 33, 3299-3310, 2021
412021
Classification of damages in composite images using Zernike moments and support vector machines
ARJ Fredo, RS Abilash, R Femi, A Mythili, CS Kumar
Composites Part B: Engineering 168, 77-86, 2019
412019
Diagnostic Classification of Autism using Resting-State fMRI Data and Conditional Random Forest
ARJ Fredo, A Jahedi, M Reiter, RA Müller
40th International Conference on Engineering in Medicine and Biology 12 (2 …, 2018
362018
Segmentation and analysis of damages in composite images using multi-level threshold methods and geometrical features
AR Jac Fredo, RS Abilash, C Suresh Kumar
Measurement 100, 270-278, 2017
242017
Segmentation and analysis of corpus callosum in autistic MR brain images using reaction diffusion level sets
AR Jac Fredo, G Kavitha, S Ramakrishnan
Journal of Medical Imaging and Health Informatics 5 (4), 737-741, 2015
192015
Experimental investigation on the effect of glass fiber orientation on impact damage resistance under cyclic indentation loading using AE monitoring
C Suresh Kumar, V Arumugam, JJ Kenned, R Karthikeyan, AR Jac Fredo
Nondestructive Testing and Evaluation 35 (4), 408-426, 2020
182020
Classification of normal and knee joint disorder vibroarthrographic signals using multifractals and support vector machines
AR Jac Fredo, TR Josena, P Rajkumar, A Mythili
Biomedical Engineering: Applications, Basis and Communications 29 (3), 1-9, 2017
152017
Automated segmentation and analysis of corpus callosum in Autistic MR brain images using fuzzy-c-means-based level set method
AR Jac Fredo, G Kavitha, S Ramakrishnan
Journal of Medical and Biological Engineering 35 (3), 331-337, 2015
152015
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images
AR Jac Fredo, G Kavitha, S Ramakrishnan
International Journal of Imaging Systems and Technology 24 (3), 256-262, 2014
142014
A comparative study on eeg features for neonatal seizure detection
S Abirami, J Thomas, R Yuvaraj, JF Agastinose Ronickom
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders …, 2022
132022
Analysis of muscle fatigue conditions using time-frequency images and GLCM features
PA Karthick, M Navaneethakrishna, N Punitha, AR Jac Fredo, ...
Current Directions in Biomedical Engineering 2 (1), 483-487, 2016
132016
Investigation of graphene as a material for electrical contacts in the application of microrelays using finite element modeling
F Robert, A Sharma, H Katare, ARJ Fredo
Materials Research Express 6 (9), 094008, 2019
112019
Segmentation and morphometric analysis of subcortical regions in autistic MR brain images using fuzzy Gaussian distribution model-based distance regularised multi-phase level set
AR Jac Fredo, G Kavitha, S Ramakrishnan
International Journal of Biomedical Engineering and Technology 15 (3), 211-223, 2014
112014
A comparative analysis of eda decomposition methods for improved emotion recognition
PS Kumar, PK Govarthan, N GANAPATHY, JACFA RONICKOM
Journal of Mechanics in Medicine and Biology 23 (06), 2340043, 2023
92023
Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms
P Sriram Kumar, PK Govarthan, N Ganapathy, JFA Ronickom
Journal of Mechanics in Medicine and Biology 23 (06), 2340044, 2023
92023
Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals
ARJ Fredo, RS Abilash, R Femi, NSM Raja, CS Kumar
Polymer Composites, 2020
92020
Characterization of Global and Local Damages in Composite Images Using Geometrical and Fourier-Hu Moment–Based Shape Descriptors
AR Jac Fredo, RS Abilash, R Femi, NSM Raja, CS Kumar
Journal of Testing and Evaluation 49 (2), 2019
82019
Low-power hardware accelerator for detrending measured biopotential data
R Mittal, AA Prince, S Nalband, F Robert, ARJ Fredo
IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2020
72020
Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms
R Mittal, AA Prince, S Nalband, F Robert, ARJ Fredo
Biomedical Signal Processing and Control 69, 102927, 2021
62021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20