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ORCIDAhmed M. Anter
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2020 – today
- 2024
[j25]Mohamed E. ElAraby, Ahmed A. Ewees
, Ahmed M. Anter:
A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique. Biomed. Signal Process. Control. 87(Part B): 105542 (2024)- [j24]Shruti Chaudhari, Anuradha D. Thakare, Ahmed M. Anter:
PSOGSA: A parallel implementation model for data clustering using new hybrid swarm intelligence and improved machine learning technique. Sustain. Comput. Informatics Syst. 41: 100953 (2024) - [j23]Ahmed M. Anter, Zhiguo Zhang:
RLWOA-SOFL: A New Learning Model-Based Reinforcement Swarm Intelligence and Self-Organizing Deep Fuzzy Rules for fMRI Pain Decoding. IEEE Trans. Affect. Comput. 15(2): 644-656 (2024) - 2023
- [j22]Ahmed M. Anter, Ali Wagdy Mohamed, Min Zhang, Zhiguo Zhang:
A robust intelligence regression model for monitoring Parkinson's disease based on speech signals. Future Gener. Comput. Syst. 147: 316-327 (2023) - [j21]Anuradha D. Thakare, Ahmed M. Anter, Ajith Abraham:
Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution. Multidimens. Syst. Signal Process. 34(2): 397-421 (2023) - 2022
- [j20]Ahmed M. Anter, Mohamed Abd Elaziz, Zhiguo Zhang:
Real-time epileptic seizure recognition using Bayesian genetic whale optimizer and adaptive machine learning. Future Gener. Comput. Syst. 127: 426-434 (2022) - [j19]Ahmed M. Anter, Hany S. Elnashar, Zhiguo Zhang:
QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning. Knowl. Based Syst. 252: 109323 (2022) - 2021
- [j18]Ahmed M. Anter, Diego Oliva, Anuradha D. Thakare, Zhiguo Zhang:
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 49: 101317 (2021) - [j17]Ahmed Hassan, Ahmed M. Anter, Mohammed Kayed:
A Survey on Extending the Lifetime for Wireless Sensor Networks in Real-Time Applications. Int. J. Wirel. Inf. Networks 28(1): 77-103 (2021) - [j16]Qianqian Lin, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Ahmed M. Anter, Zhiguo Zhang:
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses. NeuroImage 225: 117506 (2021) - [j15]Ahmed Hassan, Ahmed M. Anter, Mohammed Kayed:
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. 30: 100482 (2021) - 2020
- [j14]Ahmed M. Anter, Siddhartha Bhattacharyya, Zhiguo Zhang:
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. Appl. Soft Comput. 96: 106677 (2020) - [j13]Ahmad Taher Azar, Ahmed M. Anter, Khaled M. Fouad:
Intelligent system for feature selection based on rough set and chaotic binary grey wolf optimisation. Int. J. Comput. Appl. Technol. 63(1/2): 4-24 (2020) - [j12]Ahmed M. Anter, Yasmine S. Moemen, Ashraf Darwish, Aboul Ella Hassanien:
Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine. Knowl. Based Syst. 188 (2020) - [j11]Ahmed M. Anter, Deepak Gupta, Oscar Castillo:
A novel parameter estimation in dynamic model via fuzzy swarm intelligence and chaos theory for faults in wastewater treatment plant. Soft Comput. 24(1): 111-129 (2020) - [j10]Ahmed M. Anter, Mumtaz Ali:
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. 24(3): 1565-1584 (2020) - [j9]Ahmed M. Anter, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Zhiguo Zhang:
A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI. IEEE Trans. Fuzzy Syst. 28(6): 1096-1109 (2020)
2010 – 2019
- 2019
- [j8]Ahmed M. Anter, Aboul Ella Hassenian:
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm. Artif. Intell. Medicine 97: 105-117 (2019) - [j7]Ahmed El-Azab, Ahmed M. Anter, Hongmin Bai, Qingmao Hu, Zakir Hussain, Dong Ni, Tianfu Wang, Baiying Lei:
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. Appl. Soft Comput. 80: 617-627 (2019) - [j6]Ahmed M. Anter, Aboul Ella Hassenian, Diego Oliva:
An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural. Expert Syst. Appl. 118: 340-354 (2019) - [j5]Ahmed M. Anter, Yichen Wei, Jiahui Su, Yueming Yuan, Beiying Lei, Gaoxiong Duan, Wei Mai, Xiucheng Nong, Bihan Yu, Chong Li, Zening Fu, Lihua Zhao, Demao Deng, Zhiguo Zhang:
A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI. Inf. Sci. 503: 670-687 (2019) - [c8]Ahmed M. Anter, Zhiguo Zhang:
E-Health Parkinson Disease Diagnosis in Smart Home Based on Hybrid Intelligence Optimization Model. AISI 2019: 156-165 - [c7]Ahmed M. Anter, Ahmad Taher Azar, Khaled M. Fouad:
Intelligent Hybrid Approach for Feature Selection. AMLTA 2019: 71-79 - [c6]Ahmed M. Anter, Zhiguo Zhang:
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI. PRIME@MICCAI 2019: 23-33 - 2018
- [j4]Ahmed El-Azab, Yousry M. AbdulAzeem, Ahmed M. Anter, Qingmao Hu, Tianfu Wang, Baiying Lei:
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access 6: 30663-30679 (2018) - [j3]Ahmed M. Anter, Aboul Ella Hassenian:
Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation. J. Comput. Sci. 25: 376-387 (2018) - 2016
- [p1]Abder-Rahman Ali, Micael S. Couceiro, Ahmed M. Anter, Aboul Ella Hassanien:
Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation. Applications of Intelligent Optimization in Biology and Medicine 2016: 233-250 - 2015
- [c5]Tarek Gaber, Gehad Ismail Sayed, Ahmed M. Anter, Mona M. Soliman, Mona A. S. Ali, Noura A. Semary, Aboul Ella Hassanien, Václav Snásel:
Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm. EMBC 2015: 4254-4257 - 2014
- [j2]Ahmed M. Anter, Mohamed Abu ElSoud, Ahmad Taher Azar, Aboul Ella Hassanien:
A Hybrid Approach to Diagnosis of Hepatic Tumors in Computed Tomography Images. Int. J. Rough Sets Data Anal. 1(2): 31-48 (2014) - [c4]Abder-Rahman Ali, Micael S. Couceiro, Ahmed M. Anter, Aboul Ella Hassanien, Mohamed F. Tolba, Václav Snásel:
Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness. IBICA 2014: 83-92 - [c3]Ahmed M. Anter, Aboul Ella Hassanien, Mohamed Abu ElSoud, Mohamed F. Tolba:
Neutrosophic Sets and Fuzzy C-Means Clustering for Improving CT Liver Image Segmentation. IBICA 2014: 193-203 - 2013
- [c2]Ahmed M. Anter, Aboul Ella Hassanien, Gerald Schaefer:
Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension. ACPR 2013: 937-941 - [c1]Ahmed M. Anter, Ahmad Taher Azar, Aboul Ella Hassanien, Mohamed Abu ElSoud, Nashwa El-Bendary:
Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques. FedCSIS 2013: 193-198 - 2012
- [j1]Mohamed Abu ElSoud, Ahmed M. Anter:
Automatic mammogram segmentation and computer aided diagnoses for breast tissue density according to BIRADS dictionary. Int. J. Comput. Aided Eng. Technol. 4(2): 165-180 (2012)
Coauthor Index
aka: Aboul Ella Hassenian
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