Ahmed M. Anter
Orcid: 0000-0002-8907-4369
According to our database1,
Ahmed M. Anter
authored at least 33 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
PSOGSA: A parallel implementation model for data clustering using new hybrid swarm intelligence and improved machine learning technique.
Sustain. Comput. Informatics Syst., January, 2024
A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique.
Biomed. Signal Process. Control., January, 2024
2023
Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution.
Multidimens. Syst. Signal Process., June, 2023
A robust intelligence regression model for monitoring Parkinson's disease based on speech signals.
Future Gener. Comput. Syst., 2023
2022
QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning.
Knowl. Based Syst., 2022
Real-time epileptic seizure recognition using Bayesian genetic whale optimizer and adaptive machine learning.
Future Gener. Comput. Syst., 2022
2021
A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function.
Sustain. Comput. Informatics Syst., 2021
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses.
NeuroImage, 2021
A Survey on Extending the Lifetime for Wireless Sensor Networks in Real-Time Applications.
Int. J. Wirel. Inf. Networks, 2021
AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images.
Adv. Eng. Informatics, 2021
2020
A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI.
IEEE Trans. Fuzzy Syst., 2020
A novel parameter estimation in dynamic model via fuzzy swarm intelligence and chaos theory for faults in wastewater treatment plant.
Soft Comput., 2020
Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems.
Soft Comput., 2020
Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine.
Knowl. Based Syst., 2020
Intelligent system for feature selection based on rough set and chaotic binary grey wolf optimisation.
Int. J. Comput. Appl. Technol., 2020
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans.
Appl. Soft Comput., 2020
2019
A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI.
Inf. Sci., 2019
An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural.
Expert Syst. Appl., 2019
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm.
Artif. Intell. Medicine, 2019
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019
E-Health Parkinson Disease Diagnosis in Smart Home Based on Hybrid Intelligence Optimization Model.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019
2018
Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation.
J. Comput. Sci., 2018
IEEE Access, 2018
2016
Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation.
Proceedings of the Applications of Intelligent Optimization in Biology and Medicine, 2016
2015
Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Int. J. Rough Sets Data Anal., 2014
Neutrosophic Sets and Fuzzy C-Means Clustering for Improving CT Liver Image Segmentation.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014
2013
Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013
Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
2012
Automatic mammogram segmentation and computer aided diagnoses for breast tissue density according to BIRADS dictionary.
Int. J. Comput. Aided Eng. Technol., 2012