Ahmed M. Anter

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Swarm Intelligence

Optimization Algorithm

Mild Cognitive Impairment

Computed Tomography Images

Top Venues

Future Gener. Comput. Syst.

Knowl. Based Syst.

Sustain. Comput. Informatics Syst.

Publications

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) (2024)
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) (2024)
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 (2024)
Sameh H. Basha, Ahmed M. Anter, Aboul Ella Hassanien, Areeg Abdalla
Retraction Note: Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic. Soft Comput. 27 (13) (2023)
Sameh H. Basha, Ahmed M. Anter, Aboul Ella Hassanien, Areeg Abdalla
Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic. Soft Comput. 27 (6) (2023)
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 (2023)
Anuradha 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) (2023)
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 (2022)
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 (2022)
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) (2021)
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 (2021)
Ahmed M. Anter, Diego Oliva, Anuradha 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 (2021)
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 (2021)
Ahmed M. Anter, Siddhartha Bhattacharyya, Zhiguo Zhang
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. Appl. Soft Comput. 96 (2020)
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) (2020)
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) (2020)
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) (2020)
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)
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) (2020)
Ahmed M. Anter, Zhiguo Zhang
E-Health Parkinson Disease Diagnosis in Smart Home Based on Hybrid Intelligence Optimization Model. AISI (2019)
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 (2019)
Ahmed M. Anter, Ahmad Taher Azar, Khaled M. Fouad
Intelligent Hybrid Approach for Feature Selection. AMLTA (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2018)
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 (2018)
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)
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) (2014)
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)
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)
Ahmed M. Anter, Aboul Ella Hassanien, Gerald Schaefer
Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension. ACPR (2013)
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)
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) (2012)