Search Results - "Anter, Ahmed M."

CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm by Anter, Ahmed M., Hassenian, Aboul Ella

“…•Hybrid approach based on NS, Watershed, and fast FCM algorithms for automatic CT liver tumor segmentation.•Results demonstrate that, neutrosophy can handle…”
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Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses by Lin, Qianqian, Huang, Gan, Li, Linling, Zhang, Li, Liang, Zhen, Anter, Ahmed M., Zhang, Zhiguo

“…•Design fMRI-based pain prediction models specific to each individual and each trial.•Specific models can achieve significantly higher accuracy than…”
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Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model by Ewees, Ahmed A., Al-qaness, Mohammed A. A., Abualigah, Laith, Oliva, Diego, Algamal, Zakariya Yahya, Anter, Ahmed M., Ali Ibrahim, Rehab, Ghoniem, Rania M., Abd Elaziz, Mohamed

“…Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining,…”
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Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems by Anter, Ahmed M., Ali, Mumtaz

“…Powerful knowledge acquisition tools and techniques have the ability to increase both the quality and the quantity of knowledge-based systems for real-world…”
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A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images by Al-Shourbaji, Ibrahim, Kachare, Pramod H, Abualigah, Laith, Abdelhag, Mohammed E, Elnaim, Bushra, Anter, Ahmed M, Gandomi, Amir H

“…Pre-trained machine learning models have recently been widely used to detect COVID-19 automatically from X-ray images. Although these models can selectively…”
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Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review by Elazab, Ahmed, Abdulazeem, Yousry M., Anter, Ahmed M., Hu, Qingmao, Wang, Tianfu, Lei, Baiying

“…Mathematical models have been ubiquitously employed in various applications. One of these applications that arose in the past few decades is cerebral tumor…”
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An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural by Anter, Ahmed M., Hassenian, Aboul Ella, Oliva, Diego

“…•An improved FFCM clustering algorithm based on CSA is proposed for PA.•CSA-FFCM is able to avoid difficulties in the identification of vegetation.•The aim of…”
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A novel parameter estimation in dynamic model via fuzzy swarm intelligence and chaos theory for faults in wastewater treatment plant by Anter, Ahmed M., Gupta, Deepak, Castillo, Oscar

“…Faults during a wastewater treatment for plant (WWTP) are critical issue for social and biological. Poorly treated wastewater may achieve dangerous effect for…”
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Deep Federated Machine Learning-Based Optimization Methods for Liver Tumor Diagnosis: A Review by Anter, Ahmed M., Abualigah, Laith

“…Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and reduce the risk of liver surgery. Early diagnosis and detection of…”
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A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI by Anter, Ahmed M., Huang, Gan, Li, Linling, Zhang, Li, Liang, Zhen, Zhang, Zhiguo

“…Machine learning has been increasingly used in decoding brain states from functional magnetic resonance imaging (fMRI). One important application is to…”
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RLWOA-SOFL: A New Learning Model-Based Reinforcement Swarm Intelligence and Self-Organizing Deep Fuzzy Rules for fMRI Pain Decoding by Anter, Ahmed M., Zhang, Zhiguo

“…Pain is highly subjective, so it is always desirable to develop objective pain assessment methods. Brain imaging techniques, such as functional magnetic…”
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Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic by Basha, Sameh H, Anter, Ahmed M, Hassanien, Aboul Ella, Abdalla, Areeg

“…The highly spreading virus, COVID-19, created a huge need for an accurate and speedy diagnosis method. The famous RT-PCR test is costly and not available for…”
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Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution by Thakare, Anuradha, Anter, Ahmed M., Abraham, Ajith

“…Epilepsy is a chronic seizure state of an individual. The group of brain cells reflects abnormal electrical activity. Electroencephalography (EEG) is a popular…”
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Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine by Anter, Ahmed M., Moemen, Yasmine S., Darwish, Ashraf, Hassanien, Aboul Ella

“…This paper presents a new Quantitative Structure-Activity Relationship (QSAR) model based on Extreme Learning Machine (ELM) to predict the biological activity…”
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A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images by Gudadhe, Santwana, Thakare, Anuradha, Anter, Ahmed M.

“…One of the most serious forms of brain stroke is intracranial hemorrhage (ICH). When an artery bursts, the brain and the tissue around the artery start…”
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Retraction Note: Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic by Basha, Sameh H., Anter, Ahmed M., Hassanien, Aboul Ella, Abdalla, Areeg

“…[This retracts the article DOI: 10.1007/s00500-021-06103-7.]…”
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Improved machine learning technique for feature reduction and its application in spam email detection by Ewees, Ahmed A., Gaheen, Marwa A., Alshahrani, Mohammed M., Anter, Ahmed M., Ismail, Fatma H.

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An optimised stability model for the magnetohydrodynamic fluid by Hussain, Zakir, Zeesahan, Raja, Shahzad, Muhammad, Ali, Mehboob, Sultan, Faisal, Anter, Ahmed M, Zhang, Huisheng, Khan, Nazar

“…Magnetohydrodynamics (MHD) is a very challenging problem which affects the stability of Poiseuille flow. Therefore, in this work we investigate the instability…”
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Recurrent Neural Networks (RNNs) to improve EEG-based person identification by Mohamed, Youssef, Anter, Ahmed M., Zaky, Ahmed B.

“…This study explored the potential of using EEG signals for biometric identification, and the performance of advanced deep learning models, such as LSTM and…”
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EEG-Based Detection of Pornography Addiction: Deep Learning Models with Attention Mechanism for Unveiling Neurocognitive Patterns by Mahmoud, Abdelrahman, Mohamed, Youssef, Anter, Ahmed M., Zaky, Ahmed B.

“…While field of addiction is evolving, lack of validated diagnostic tools and biomarkers for behavioral addictions has created a need for innovative approaches…”
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