A survey of deep learning techniques for cybersecurity in mobile networks
The widespread use of mobile devices, as well as the increasing popularity of mobile
services has raised serious cybersecurity challenges. In the last years, the number of …
services has raised serious cybersecurity challenges. In the last years, the number of …
A review study on blockchain-based IoT security and forensics
R Kamal, EED Hemdan, N El-Fishway - Multimedia Tools and Applications, 2021 - Springer
Abstract The term Internet of Things (IoT) represents all communicating countless
heterogeneous devices to share data and resources via the internet. The speedy advance of …
heterogeneous devices to share data and resources via the internet. The speedy advance of …
An efficient IoT based smart farming system using machine learning algorithms
This paper suggests an IoT based smart farming system along with an efficient prediction
method called WPART based on machine learning techniques to predict crop productivity …
method called WPART based on machine learning techniques to predict crop productivity …
An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images
EED Hemdan - Multimedia Tools and Applications, 2021 - Springer
This paper offers a medical image watermarking approach based on Wavelet Fusion (WF),
Singular Value Decomposition (SVD), and Multi-Level Discrete Wavelet Transform (M-DWT) …
Singular Value Decomposition (SVD), and Multi-Level Discrete Wavelet Transform (M-DWT) …
StockPred: a framework for stock Price prediction
Abstract Recently, Stock Price prediction becomes a significant practical aspect of the
economic arena. The stock price prediction is generally considered as one of the most …
economic arena. The stock price prediction is generally considered as one of the most …
An efficient fault diagnosis framework for digital twins using optimized machine learning models in smart industrial control systems
In recent times, digital twins (DT) is becoming an emerging and key technology for smart
industrial control systems and Industrial Internet of things (IIoT) applications. The DT …
industrial control systems and Industrial Internet of things (IIoT) applications. The DT …
Autonomous artificial intelligence systems for fraud detection and forensics in dark web environments
Artificial Intelligence (AI) influenced technical aspects of research for generating automated
intelligent behaviors covering divergent domains but has shown appreciable results when …
intelligent behaviors covering divergent domains but has shown appreciable results when …
[PDF][PDF] An Ingenious IoT Based Crop Prediction System Using ML and EL.
Traditional farming procedures are time-consuming and expensive as based on manual
labor. Farmers have no proper knowledge to select which crop is suitable to grow according …
labor. Farmers have no proper knowledge to select which crop is suitable to grow according …
Anomaly credit card fraud detection using deep learning
EED Hemdan, DH Manjaiah - Deep Learning in Data Analytics: Recent …, 2022 - Springer
Recently, fraudulent credit card transactions is a growing worldwide problem which costs
upwards of billions of dollars per year. It becomes a significant security issue for customers …
upwards of billions of dollars per year. It becomes a significant security issue for customers …
[HTML][HTML] Beyond py method: A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils
In 2023, pivotal advancements in artificial intelligence (AI) have significantly experienced.
With that in mind, traditional methodologies, notably the py approach, have struggled to …
With that in mind, traditional methodologies, notably the py approach, have struggled to …