An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm.
BMC Medical Imaging, December, 2024
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0.
Frontiers Big Data, 2024
A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms.
J. Imaging, 2023
A Review on Machine Learning Approaches in Identification of Pediatric Epilepsy.
SN Comput. Sci., 2022
A deep learning approach to intelligent fruit identification and family classification.
Multim. Tools Appl., 2022
Dynamic MODCOD and power allocation in DVB-S2: a hybrid intelligent approach.
Telecommun. Syst., 2021
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics.
Pattern Recognit. Lett., 2021
BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19.
IEEE Access, 2021
Hybrid chaotic firefly decision making model for Parkinson's disease diagnosis.
Int. J. Distributed Sens. Networks, 2020
Cyber Threat Intelligence for Secure Smart City.
CoRR, 2020
Test Suit Generation for Object Oriented Programs: A Hybrid Firefly and Differential Evolution Approach.
IEEE Access, 2020
Edge and Fog Computing in Healthcare - A Review.
Scalable Comput. Pract. Exp., 2019
A Neuro-fuzzy approach for user behaviour classification and prediction.
J. Cloud Comput., 2019
Modified Firefly Algorithm With Chaos Theory for Feature Selection: A Predictive Model for Medical Data.
Int. J. Swarm Intell. Res., 2019
Kernel Based Chaotic Firefly Algorithm for Diagnosing Parkinson's Disease.
Proceedings of the Hybrid Intelligent Systems, 2018
A parallel firefly meta-heuristics algorithm for financial option pricing.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
An Enhanced Chaos-Based Firefly Model for Parkinson's Disease Diagnosis and Classification.
Proceedings of the 2017 International Conference on Information Technology, 2017
Genetic Diagnosis of Cancer by Evolutionary Fuzzy-Rough based Neural-Network Ensemble.
Int. J. Knowl. Discov. Bioinform., 2016
A Particle Swarm Optimization based Hybrid Recommendation System.
Int. J. Knowl. Discov. Bioinform., 2016
Sampling based hybrid algorithms for imbalanced data classification.
Int. J. Hybrid Intell. Syst., 2016
Detection of defects in fabrics using topothesy fractal dimension features.
Signal Image Video Process., 2015
Automatic Test Data Generation using Metaheuristic Cuckoo Search Algorithm.
Int. J. Knowl. Discov. Bioinform., 2015
A Diverse Meta Learning Ensemble Technique to Handle Imbalanced Microarray Dataset.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015
A correlation based multilayer perceptron algorithm for cancer classification with gene-expression dataset.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014
Hill-climber based fuzzy-rough feature extraction with an application to cancer classification.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013