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ORCIDShaker H. Ali El-Sappagh
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2020 – today
- 2024
[j66]Nasir Rahim
, Shaker H. Ali El-Sappagh, Haytham Rizk, Omar Amin El-serafy, Tamer Abuhmed:
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data. Appl. Soft Comput. 162: 111749 (2024)- [j65]Abdelrahman Desoky, Hany H. Ammar, Gamal Fahmy, Shaker H. Ali El-Sappagh, Abdeltawab M. Hendawi, Sameh Hassanien Basha:
A novel keyless cryptosystem based on Latin square and cognitive artificial intelligence for blockchain and covert communications. Int. J. Appl. Cryptogr. 4(3/4): 219-237 (2024) - [j64]Fatma M. Talaat, Shaker H. Ali El-Sappagh, Khaled Alnowaiser, Esraa Hassan:
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture. BMC Medical Informatics Decis. Mak. 24(1): 23 (2024) - [j63]Mohamed Abd Elaziz, Ibrahim Attiya, Laith Abualigah, Muddesar Iqbal, Amjad Ali, Ala I. Al-Fuqaha, Shaker H. Ali El-Sappagh:
Hybrid Enhanced Optimization-Based Intelligent Task Scheduling for Sustainable Edge Computing. IEEE Trans. Consumer Electron. 70(1): 889-898 (2024) - 2023
- [j62]Mohamed Abd Elaziz, Abdelghani Dahou, Mohammed Azmi Al-Betar, Shaker H. Ali El-Sappagh, Diego Oliva, Ahmad O. Aseeri:
Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT. IEEE Access 11: 66257-66278 (2023) - [j61]Maali Alabdulhafith, Hager Saleh, Hela Elmannai, Zainab Hassan Ali, Shaker H. Ali El-Sappagh, Jong Wan Hu, Nora El-Rashidy:
A Clinical Decision Support System for Edge/Cloud ICU Readmission Model Based on Particle Swarm Optimization, Ensemble Machine Learning, and Explainable Artificial Intelligence. IEEE Access 11: 100604-100621 (2023) - [j60]Waleed Nazih, Ahmad O. Aseeri, Osama Youssef Atallah, Shaker H. Ali El-Sappagh:
Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images. IEEE Access 11: 117546-117561 (2023) - [j59]Abdulaziz Almohimeed, Redhwan M. A. Saad, Sherif Mostafa, Nora El-Rashidy, Sarah Farrag, Abdelkareem Gaballah, Mohamed E. Abd Elaziz, Shaker H. Ali El-Sappagh, Hager Saleh:
Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer's Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers. IEEE Access 11: 123173-123193 (2023) - [j58]Shaker H. Ali El-Sappagh, Jose Maria Alonso-Moral, Tamer Abuhmed, Farman Ali, Alberto José Bugarín Diz:
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges. Artif. Intell. Rev. 56(10): 11149-11296 (2023) - [j57]Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, Shaker H. Ali El-Sappagh, Ahmad O. Aseeri:
An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction. Comput. Biol. Medicine 163: 107154 (2023) - [j56]Muhammad Junaid, Sajid Ali, Fatma Eid, Shaker H. Ali El-Sappagh, Tamer Abuhmed:
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease. Comput. Methods Programs Biomed. 234: 107495 (2023) - [j55]Hala Ahmed, Hassan Soliman, Shaker H. Ali El-Sappagh, Tamer Abuhmed, Mohammed Elmogy:
Early Detection of Alzheimer's Disease Based on Laplacian Re-Decomposition and XGBoosting. Comput. Syst. Sci. Eng. 46(3): 2773-2795 (2023) - [j54]Nasir Rahim, Shaker H. Ali El-Sappagh, Sajid Ali, Khan Muhammad, Javier Del Ser, Tamer Abuhmed:
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data. Inf. Fusion 92: 363-388 (2023) - [j53]Sajid Ali, Tamer Abuhmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera:
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99: 101805 (2023) - [j52]Amira Samy Talaat, Shaker H. Ali El-Sappagh:
Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions. J. Supercomput. 79(14): 15868-15893 (2023) - [c5]Abdelrahman Desoky, Hany H. Ammar, Gamal Fahmy, Shaker H. Ali El-Sappagh, Abdeltawab M. Hendawi, Sameh H. Basha:
Latin Square and Artificial Intelligence Cryptography for Blockchain and Centralized Systems. AISI 2023: 444-455 - [c4]Hager Saleh, Nora El-Rashidy, Tamer Abuhmed, Shaker H. Ali El-Sappagh:
LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores. NILES 2023: 1-6 - 2022
- [j51]Ebtsam Adel, Shaker H. Ali El-Sappagh, Sherif I. Barakat, Kyung Sup Kwak, Mohammed Elmogy:
Semantic Architecture for Interoperability in Distributed Healthcare Systems. IEEE Access 10: 126161-126179 (2022) - [j50]Mohamed Loey, Shaker H. Ali El-Sappagh, Seyedali Mirjalili:
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data. Comput. Biol. Medicine 142: 105213 (2022) - [j49]Eslam Amer, Shaker H. Ali El-Sappagh:
Robust deep learning early alarm prediction model based on the behavioural smell for android malware. Comput. Secur. 116: 102670 (2022) - [j48]Sarang Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Amena Mahmoud, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak:
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease. Frontiers Comput. Neurosci. 16 (2022) - [j47]Shaker H. Ali El-Sappagh, Farman Ali, Tamer Abuhmed, Jaiteg Singh, José Maria Alonso:
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers. Neurocomputing 512: 203-224 (2022) - [j46]Firuz Juraev, Shaker H. Ali El-Sappagh, Eldor Abdukhamidov, Farman Ali, Tamer Abuhmed:
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients. J. Biomed. Informatics 135: 104216 (2022) - [j45]Nora El-Rashidy, Tamer AbuHmed, Louai Alarabi, Hazem M. El-Bakry, Samir Abdelrazek, Farman Ali, Shaker H. Ali El-Sappagh:
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning. Neural Comput. Appl. 34(5): 3603-3632 (2022) - [j44]Shaker H. Ali El-Sappagh, Hager Saleh, Farman Ali, Eslam Amer, Tamer Abuhmed:
Two-stage deep learning model for Alzheimer's disease detection and prediction of the mild cognitive impairment time. Neural Comput. Appl. 34(17): 14487-14509 (2022) - [j43]Mohammad Al-Shinwan, Laith Abualigah, Trong-Dinh Huy, Ahmed Younes Shdefat, Maryam Altalhi, Chul-Soo Kim, Shaker H. Ali El-Sappagh, Mohamed Abd Elaziz, Kyung Sup Kwak:
An Efficient 5G Data Plan Approach Based on Partially Distributed Mobility Architecture. Sensors 22(1): 349 (2022) - [j42]Hager Saleh, Sherif Mostafa, Abdullah Alharbi, Shaker H. Ali El-Sappagh, Tamim Alkhalifah:
Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis. Sensors 22(10): 3707 (2022) - [j41]Mai Tharwat, Nehal A. Sakr, Shaker H. Ali El-Sappagh, Hassan Soliman, Kyung-Sup Kwak, Mohammed Elmogy:
Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques. Sensors 22(23): 9250 (2022) - [j40]Sajid Ali, Shaker H. Ali El-Sappagh, Farman Ali, Muhammad Imran, Tamer Abuhmed:
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data. IEEE J. Biomed. Health Informatics 26(12): 5793-5804 (2022) - 2021
- [j39]Eman AbdelMaksoud, Shaker H. Ali El-Sappagh, Sherif I. Barakat, Tamer AbuHmed, Mohammed Elmogy:
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions. IEEE Access 9: 15939-15960 (2021) - [j38]Nora Shoaip, Amira Rezk, Shaker H. Ali El-Sappagh, Louai Alarabi, Sherif I. Barakat, Mohammed M. Elmogy:
A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis. IEEE Access 9: 31350-31372 (2021) - [j37]Shaker H. Ali El-Sappagh, Tamer AbuHmed, Bader Alouffi, Radhya Sahal, Naglaa Abdelhade, Hager Saleh:
The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning. Comput. Intell. Neurosci. 2021: 8439655:1-8439655:8 (2021) - [j36]Eslam Amer, Ivan Zelinka, Shaker H. Ali El-Sappagh:
A Multi-Perspective malware detection approach through behavioral fusion of API call sequence. Comput. Secur. 110: 102449 (2021) - [j35]Farman Ali, Shaker H. Ali El-Sappagh, S. M. Riazul Islam, Amjad Ali, Muhammad Attique, Muhammad Imran, Kyung-Sup Kwak:
An intelligent healthcare monitoring framework using wearable sensors and social networking data. Future Gener. Comput. Syst. 114: 23-43 (2021) - [j34]Shaker H. Ali El-Sappagh, Hager Saleh, Radhya Sahal, Tamer AbuHmed, S. M. Riazul Islam, Farman Ali, Eslam Amer:
Alzheimer's disease progression detection model based on an early fusion of cost-effective multimodal data. Future Gener. Comput. Syst. 115: 680-699 (2021) - [j33]Tamer AbuHmed, Shaker H. Ali El-Sappagh, José Maria Alonso:
Robust hybrid deep learning models for Alzheimer's progression detection. Knowl. Based Syst. 213: 106688 (2021) - [j32]Hala Ahmed, Louai Alarabi, Shaker H. Ali El-Sappagh, Hassan Soliman, Mohammed Elmogy:
Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles. PeerJ Comput. Sci. 7: e697 (2021) - [j31]Nermeen Nader, Fatma El-Zahraa A. El-Gamal, Shaker H. Ali El-Sappagh, Kyung Sup Kwak, Mohammed Elmogy:
Kinship verification and recognition based on handcrafted and deep learning feature-based techniques. PeerJ Comput. Sci. 7: e735 (2021) - 2020
- [j30]Pijush Kanti Dutta Pramanik, Arun Solanki, Abhinaba Debnath, Anand Nayyar, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak:
Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges. IEEE Access 8: 65230-65266 (2020) - [j29]Baljit Singh Saini, Parminder Singh, Anand Nayyar, Navdeep Kaur, Kamaljit Singh Bhatia, Shaker H. Ali El-Sappagh, Jong Wan Hu:
A Three-Step Authentication Model for Mobile Phone User Using Keystroke Dynamics. IEEE Access 8: 125909-125922 (2020) - [j28]Nora El-Rashidy, Shaker H. Ali El-Sappagh, Tamer AbuHmed, Samir Abdelrazek, Hazem M. El-Bakry:
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model. IEEE Access 8: 133541-133564 (2020) - [j27]Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker H. Ali El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam:
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives. IEEE Access 8: 228049-228069 (2020) - [j26]Abdeltawab M. Hendawi, John A. Stankovic, Ayman Taha, Shaker H. Ali El-Sappagh, Amr A. Ahmadain, Mohamed H. Ali:
Road network simplification for location-based services. GeoInformatica 24(4): 801-826 (2020) - [j25]Ebtsam Adel, Shaker H. Ali El-Sappagh, Sherif I. Barakat, Mohammed Elmogy:
A semantic interoperability framework for distributed electronic health record based on fuzzy ontology. Int. J. Medical Eng. Informatics 12(3): 207-227 (2020) - [j24]Nora Shoaip, Shaker H. Ali El-Sappagh, Sherif I. Barakat, Mohammed Elmogy:
A framework for disease diagnosis based on fuzzy semantic ontology approach. Int. J. Medical Eng. Informatics 12(5): 475-488 (2020) - [j23]Shaker H. Ali El-Sappagh, Tamer AbuHmed, S. M. Riazul Islam, Kyung Sup Kwak:
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data. Neurocomputing 412: 197-215 (2020) - [j22]Hanaa Ibrahim Abu Zahra, Shaker H. Ali El-Sappagh, Tarek A. El-Shishtawy:
A Proposed Frequent Itemset Discovery Algorithm Based on Item Weights and Uncertainty. Int. J. Sociotechnology Knowl. Dev. 12(1): 98-118 (2020) - [j21]Farman Ali, Shaker H. Ali El-Sappagh, S. M. Riazul Islam, Daehan Kwak, Amjad Ali, Muhammad Imran, Kyung-Sup Kwak:
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion. Inf. Fusion 63: 208-222 (2020) - [j20]Amjad Ali, Li Feng, Ali Kashif Bashir, Shaker H. Ali El-Sappagh, Syed Hassan Ahmed, Muddesar Iqbal, Gunasekaran Raja:
Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-Enabled Internet of Things. IEEE Trans. Netw. Sci. Eng. 7(1): 328-342 (2020) - [c3]Shaker H. Ali El-Sappagh, Tamer AbuHmed, Kyung Sup Kwak:
Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks. IntelliSys (3) 2020: 482-492 - [i1]Naira Elazab, Hassan Soliman, Shaker H. Ali El-Sappagh, S. M. Riazul Islam, Mohammed Elmogy:
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends. CoRR abs/2011.05790 (2020)
2010 – 2019
- 2019
- [j19]Shaker H. Ali El-Sappagh, Farman Ali, Samir El-Masri, Kyehyun Kim, Amjad Ali, Kyung Sup Kwak:
Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges. IEEE Access 7: 21917-21947 (2019) - [j18]Farman Ali, Daehan Kwak, Pervez Khan, Shaker H. Ali El-Sappagh, Amjad Ali, Sana Ullah, Kyehyun Kim, Kyung Sup Kwak:
Transportation sentiment analysis using word embedding and ontology-based topic modeling. Knowl. Based Syst. 174: 27-42 (2019) - [j17]Shaker H. Ali El-Sappagh, Farman Ali, Abdeltawab M. Hendawi, Jun-Hyeog Jang, Kyung Sup Kwak:
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard. BMC Medical Informatics Decis. Mak. 19(1): 97:1-97:36 (2019) - [j16]Farman Ali, Shaker H. Ali El-Sappagh, Daehan Kwak:
Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel. Sensors 19(2): 234 (2019) - [j15]Shaker H. Ali El-Sappagh, Mohammed Elmogy, Farman Ali, Kyung Sup Kwak:
A case-base fuzzification process: diabetes diagnosis case study. Soft Comput. 23(14): 5815-5834 (2019) - [j14]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali:
Benchmarking large-scale data management for Internet of Things. J. Supercomput. 75(12): 8207-8230 (2019) - 2018
- [j13]Shaker H. Ali El-Sappagh, José Maria Alonso, Farman Ali, Amjad Ali, Jun-Hyeog Jang, Kyung Sup Kwak:
An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis. IEEE Access 6: 37371-37394 (2018) - [j12]Shaker H. Ali El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab M. Hendawi, Farid A. Badria, Doug Young Suh:
Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques. IEEE Access 6: 52911-52929 (2018) - [j11]Shaker H. Ali El-Sappagh, Daehan Kwak, Farman Ali, Kyung Sup Kwak:
DMTO: a realistic ontology for standard diabetes mellitus treatment. J. Biomed. Semant. 9(1): 8:1-8:30 (2018) - [j10]Shaker H. Ali El-Sappagh, Francesco Franda, Farman Ali, Kyung Sup Kwak:
SNOMED CT standard ontology based on the ontology for general medical science. BMC Medical Informatics Decis. Mak. 18(1): 76:1-76:19 (2018) - [c2]Farman Ali, Shaker H. Ali El-Sappagh, Pervez Khan, Kyung Sup Kwak:
Feature-based Transportation Sentiment Analysis Using Fuzzy Ontology and SentiWordNet. ICTC 2018: 1350-1355 - 2017
- [j9]Farman Ali, Daehan Kwak, Pervez Khan, Shaker H. Ali El-Sappagh, S. M. Riazul Islam, Daeyoung Park, Kyung Sup Kwak:
Merged Ontology and SVM-Based Information Extraction and Recommendation System for Social Robots. IEEE Access 5: 12364-12379 (2017) - 2016
- [j8]Shaker H. Ali El-Sappagh, Mohammed M. Elmogy:
Medical Case Based Reasoning Frameworks: Current Developments and Future Directions. Int. J. Decis. Support Syst. Technol. 8(3): 31-62 (2016) - [j7]Shaker H. Ali El-Sappagh, Mohammed Elmogy:
An encoding methodology for medical knowledge using SNOMED CT ontology. J. King Saud Univ. Comput. Inf. Sci. 28(3): 311-329 (2016) - 2015
- [j6]Shaker H. Ali El-Sappagh, Mohammed M. Elmogy, Alaa Eldin M. Riad:
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis. Artif. Intell. Medicine 65(3): 179-208 (2015) - [j5]Shaker H. Ali El-Sappagh, Mohammed M. Elmogy, Alaa Eldin M. Riad:
A CBR system for diabetes mellitus diagnosis: case-base standard data model. Int. J. Medical Eng. Informatics 7(3): 191-208 (2015) - 2014
- [j4]Shaker H. Ali El-Sappagh, Samir El-Masri:
A distributed clinical decision support system architecture. J. King Saud Univ. Comput. Inf. Sci. 26(1): 69-78 (2014) - [j3]Shaker H. Ali El-Sappagh, Samir El-Masri, Mohammed M. Elmogy, Alaa Eldin M. Riad, Basema Saddik:
An Ontological Case Base Engineering Methodology for Diabetes Management. J. Medical Syst. 38(8): 67 (2014) - [c1]Shaker H. Ali El-Sappagh, Mohammed M. Elmogy, Alaa Eldin M. Riad, Hosam Zaghlol, Farid A. Badria:
EHR Data Preparation for Case Based Reasoning Construction. AMLTA 2014: 483-497 - 2012
- [j2]Abdeltawab M. A. Hendawi, Shaker H. Ali El-Sappagh:
EMD: entity mapping diagram for automated extraction, transformation, and loading processes in data warehousing. Int. J. Intell. Inf. Database Syst. 6(3): 255-272 (2012) - 2011
- [j1]Shaker H. Ali El-Sappagh, Abdeltawab M. A. Hendawi, Ali El-Bastawissy:
A proposed model for data warehouse ETL processes. J. King Saud Univ. Comput. Inf. Sci. 23(2): 91-104 (2011)
Coauthor Index
Tamer Abuhmed
aka: Tamer AbuHmed
aka: Tamer AbuHmed
Mohammed M. Elmogy
aka: Mohammed Elmogy
aka: Mohammed Elmogy
Kyung Sup Kwak
aka: Kyung-Sup Kwak
aka: Kyung-Sup Kwak
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last updated on 2024-10-07 21:25 CEST by the dblp team
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