Manjeevan Seera
Orcid: 0000-0002-2797-3668
According to our database1,
Manjeevan Seera
authored at least 58 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
2023
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion.
IEEE Access, 2023
Correction to "Feature Extension of Gut Microbiome Data for Deep Neural Network-Based Colorectal Cancer Classification".
IEEE Access, 2023
Correction to "Stacking and Chaining of Normalization Methods in Deep Learning-Based Classification of Colorectal Cancer Using Gut Microbiome Data".
IEEE Access, 2023
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery.
IEEE Access, 2023
2021
Feature Extension of Gut Microbiome Data for Deep Neural Network-Based Colorectal Cancer Classification.
IEEE Access, 2021
Stacking and Chaining of Normalization Methods in Deep Learning-Based Classification of Colorectal Cancer Using Gut Microbiome Data.
IEEE Access, 2021
2020
Neural Process. Lett., 2020
Face image synthesis with weight and age progression using conditional adversarial autoencoder.
Neural Comput. Appl., 2020
Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling.
Eng. Appl. Artif. Intell., 2020
2019
Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation.
IEEE Trans. Cogn. Dev. Syst., 2019
Neurocomputing, 2019
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification.
Neurocomputing, 2019
Appl. Soft Comput., 2019
2018
Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees.
Neurocomputing, 2018
Personality affected robotic emotional model with associative memory for human-robot interaction.
Neurocomputing, 2018
2017
Neural Process. Lett., 2017
Online semi-supervised multi-channel time series classifier based on growing neural gas.
Neural Comput. Appl., 2017
Application of emotion affected associative memory based on mood congruency effects for a humanoid.
Neural Comput. Appl., 2017
Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks.
Neurocomputing, 2017
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree.
IEEE Trans. Neural Networks Learn. Syst., 2016
Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE J. Biomed. Health Informatics, 2016
Neural Process. Lett., 2016
Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning.
J. Intell. Manuf., 2016
Hybrid evolutionary neuro-fuzzy approach based on mutual adaptation for human gesture recognition.
Appl. Soft Comput., 2016
Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building.
Appl. Soft Comput., 2016
2015
Neural Comput. Appl., 2015
Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms.
Neural Comput. Appl., 2015
Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models.
Expert Syst. Appl., 2015
A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring.
Appl. Soft Comput., 2015
Appl. Soft Comput., 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural Comput. Appl., 2014
Neural Comput. Appl., 2014
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models.
Expert Syst. Appl., 2014
Expert Syst. Appl., 2014
Proceedings of the Soft Computing Applications, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the Smart Digital Futures 2014, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors.
Neural Comput. Appl., 2013
Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model.
Appl. Soft Comput., 2013
Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model.
IEEE Trans. Neural Networks Learn. Syst., 2012
Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network.
Int. J. Nat. Comput. Res., 2012
2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011