Ezz El-Din Hemdan
Orcid: 0000-0001-9910-144X
According to our database1,
Ezz El-Din Hemdan
authored at least 35 papers
between 2019 and 2024.
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Bibliography
2024
An efficient IoT-based soil image recognition system using hybrid deep learning for smart geotechnical and geological engineering applications.
Multim. Tools Appl., July, 2024
Detection of attacks on software defined networks using machine learning techniques and imbalanced data handling methods.
Secur. Priv., 2024
2023
A review study on digital twins with artificial intelligence and internet of things: concepts, opportunities, challenges, tools and future scope.
Multim. Tools Appl., December, 2023
Multim. Tools Appl., December, 2023
An efficient security system based on cancelable face recognition with blockchain over cognitive IoT.
Multim. Tools Appl., December, 2023
An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems.
Int. J. Comput. Intell. Syst., December, 2023
Multim. Tools Appl., November, 2023
A blockchain-based electronic medical records management framework in smart healthcare infrastructure.
Multim. Tools Appl., September, 2023
Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope.
Wirel. Pers. Commun., August, 2023
An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.
Multim. Tools Appl., July, 2023
An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems.
Multim. Tools Appl., May, 2023
Wirel. Pers. Commun., February, 2023
Multim. Tools Appl., 2023
An efficient fraud detection framework with credit card imbalanced data in financial services.
Multim. Tools Appl., 2023
Robust and efficient multi-level security framework for color medical images in telehealthcare services.
J. Ambient Intell. Humaniz. Comput., 2023
CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications.
J. Ambient Intell. Humaniz. Comput., 2023
An Efficient Intrusion Detection Framework for Industrial Internet of Things Security.
Comput. Syst. Sci. Eng., 2023
2022
Secur. Priv., 2022
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture.
Int. J. Comput. Intell. Syst., 2022
Climate-smart agriculture using intelligent techniques, blockchain and Internet of Things: Concepts, challenges, and opportunities.
Trans. Emerg. Telecommun. Technol., 2022
Forensics chain for evidence preservation system: An evidence preservation forensics framework for internet of things-based smart city security using blockchain.
Concurr. Comput. Pract. Exp., 2022
2021
An efficient machine learning model for malicious activities recognition in water-based industrial internet of things.
Secur. Priv., 2021
An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT.
PeerJ Comput. Sci., 2021
Multim. Tools Appl., 2021
Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms.
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
An efficient digital forensic model for cybercrimes investigation in cloud computing.
Multim. Tools Appl., 2021
An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images.
Multim. Tools Appl., 2021
2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images.
CoRR, 2020
2019
J. Medical Syst., 2019