Search Results - "Tamer Abuhmed"

A dynamic fuzzy rule-based inference system using fuzzy inference with semantic reasoning by Shoaip, Nora, El-Sappagh, Shaker, Abuhmed, Tamer, Elmogy, Mohammed

“…The challenge of making flexible, standard, and early medical diagnoses is significant. However, some limitations are not fully overcome. First, the diagnosis…”
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A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images by Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

“…Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system…”
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Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data by El-Sappagh, Shaker, Saleh, Hager, Sahal, Radhya, Abuhmed, Tamer, Islam, S.M. Riazul, Ali, Farman, Amer, Eslam

“…Alzheimer’s disease (AD) is a severe neurodegenerative disease. The identification of patients at high risk of conversion from mild cognitive impairment to AD…”
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Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions by Abdelmaksoud, Eman, El-Sappagh, Shaker, Barakat, Sherif, Abuhmed, Tamer, Elmogy, Mohammed

“…Multi-label classification (MLC) is considered an essential research subject in the computer vision field, principally in medical image analysis. For this…”
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Temporal dynamics of urban gas pipeline risks by Rahimi, Fatema, Sadeghi-Niaraki, Abolghasem, Ghodousi, Mostafa, Abuhmed, Tamer, Choi, Soo-Mi

“…Urban gas pipelines pose significant risks to public safety and infrastructure integrity, necessitating thorough risk assessment methodologies to mitigate…”
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Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data by Saleh, Hager, Amer, Eslam, Abuhmed, Tamer, Ali, Amjad, Al-Fuqaha, Ala, El-Sappagh, Shaker

“…Alzheimer’s disease (AD) is the most common form of dementia. Early and accurate detection of AD is crucial to plan for disease modifying therapies that could…”
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Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model by El-Rashidy, Nora, El-Sappagh, Shaker, Abuhmed, Tamer, Abdelrazek, Samir, El-Bakry, Hazem M.

“…The intensive care unit (ICU) admits the most seriously ill patients requiring extensive monitoring. Early ICU mortality prediction is crucial for identifying…”
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Author Correction: A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images by Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

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Henry gas solubility optimization double machine learning classifier for neurosurgical patients by Mosa, Diana T, Mahmoud, Amena, Zaki, John, Sorour, Shaymaa E, El-Sappagh, Shaker, Abuhmed, Tamer

“…This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are…”
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Classification and Analysis of Android Malware Images Using Feature Fusion Technique by Singh, Jaiteg, Thakur, Deepak, Gera, Tanya, Shah, Babar, Abuhmed, Tamer, Ali, Farman

“…The super packed functionalities and artificial intelligence (AI)-powered applications have made the Android operating system a big player in the market…”
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Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning by El-Rashidy, Nora, Abuhmed, Tamer, Alarabi, Louai, El-Bakry, Hazem M., Abdelrazek, Samir, Ali, Farman, El-Sappagh, Shaker

“…Sepsis is a life-threatening disease that is associated with organ dysfunction. It occurs due to the body’s dysregulated response to infection. It is difficult…”
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Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping by Shabanpour, Negar, Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi, Abuhmed, Tamer

“…•Use of geospatial artificial intelligence (GeoAI) to spatially analyze a parasitic disease.•Spatial modeling of cutaneous leishmaniasis and its mapping using…”
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Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment by Imans, Dillan, Abuhmed, Tamer, Alharbi, Meshal, El-Sappagh, Shaker

“…Background: Depression is a pervasive mental health condition, particularly affecting older adults, where early detection and intervention are essential to…”
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Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare by Rahim, Nasir, Abuhmed, Tamer, Mirjalili, Seyedali, El-Sappagh, Shaker, Muhammad, Khan

“…[Display omitted] •Proposal of a smart healthcare framework for detecting the progression of Alzheimer's disease (AD).•Intelligent fusion of 2D images with…”
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TruMuzic: A Deep Learning and Data Provenance-Based Approach to Evaluating the Authenticity of Music by Gurjar, Kuldeep, Moon, Yang-Sae, Abuhmed, Tamer

“…The digitalization of music has led to increased availability of music globally, and this spread has further raised the possibility of plagiarism. Numerous…”
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Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic by El-Rashidy, Nora, Abdelrazik, Samir, Abuhmed, Tamer, Amer, Eslam, Ali, Farman, Hu, Jong-Wan, El-Sappagh, Shaker

“…Since December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the…”
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Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation by Mohaisen, Manar, Holoubi, Tasnim, Abuhmed, Tamer

“…Spatial modulation (SM) is a multiple-input multiple-output (MIMO) technique that achieves a MIMO capacity by conveying information through antenna indices,…”
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An approach for measuring spatial similarity among COVID-19 epicenters by Kaffash Charandabi, Neda, Sadeghi-Niaraki, Abolghasem, Choi, Soo-Mi, Abuhmed, Tamer

“…Most countries and territories worldwide are affected by coronavirus disease 2019 (COVID-19), and some cities have become known as epicenters owing to high…”
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A Fuzzy Ontology and SVM-Based Web Content Classification System by Ali, Farman, Khan, Pervez, Riaz, Kashif, Daehan Kwak, Abuhmed, Tamer, Daeyoung Park, Kyung Sup Kwak

“…The volume of adult content on the world wide web is increasing rapidly. This makes an automatic detection of adult content a more challenging task, when…”
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An IoT-Based Approach for Learning Geometric Shapes in Early Childhood by Bazargani, Jalal Safari, Sadeghi-Niaraki, Abolghasem, Rahimi, Fatema, Abuhmed, Tamer, Choi, Soo-Mi

“…In today's world, technology has assumed an indispensable role in everyday life. However, though developments in the Internet of Things (IoT) have laid a…”
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