Elsayed A. Sallam
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View article: ActivFairNet: A novel framework for mitigating bias in deep learning networks using activation map-based fairness regularization
ActivFairNet: A novel framework for mitigating bias in deep learning networks using activation map-based fairness regularization Open
The rapid advancements in Artificial Intelligence underscore the pressing need to address fairness in deep learning, particularly in critical fields like healthcare where decisions have direct and significant impacts on lives. Despite cons…
View article: Application of an Enhanced Self-adapting Differential Evolution Algorithm to Workload Prediction in Cloud Computing
Application of an Enhanced Self-adapting Differential Evolution Algorithm to Workload Prediction in Cloud Computing Open
The demand for workload prediction approaches has recently increased to manage the cloud resources, improve the performance of the cloud services and reduce the power consumption.The prediction accuracy of these approaches affects the clou…
View article: An Enhanced Differential Evolution Algorithm with Multi-mutation Strategies and Self-adapting Control Parameters
An Enhanced Differential Evolution Algorithm with Multi-mutation Strategies and Self-adapting Control Parameters Open
Differential evolution (DE) is a stochastic population-based optimization algorithm first introduced in 1995.It is an efficient search method that is widely used for solving global optimization problems.It has three control parameters: the…
View article: Deep Belief Networks-based framework for malware detection in Android systems
Deep Belief Networks-based framework for malware detection in Android systems Open
Malware is the umbrella term that denotes attacking any system by malicious software. During the last few years, the popularity of Android smartphones led to the sneak of several malware applications into different Android markets without …
View article: Multi-swarm multi-objective optimization based on a hybrid strategy
Multi-swarm multi-objective optimization based on a hybrid strategy Open
View article: Handling Numerical Missing Values Via Rough Sets
Handling Numerical Missing Values Via Rough Sets Open
Many existing industrial and research data sets contain missing values.Data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors, and incorrect measurements.It is usual to find missing …
View article: ROHDIP: Resource Oriented Heterogeneous Data Integration Platform
ROHDIP: Resource Oriented Heterogeneous Data Integration Platform Open
During the last few years, the revolution of social networks such as Facebook, Twitter, and Instagram led to a daily increasing of data that are heterogeneous in their sources, data models, and platforms. Heterogeneous data sources have ma…
View article: Medical Image Segmentation for Liver Diseases: A Survey
Medical Image Segmentation for Liver Diseases: A Survey Open
With the recent advances in the field of artificial intelligence and information technology, the improvement in the interpretation of the medical images has contributed significantly to the early diagnosis of different diseases. Medical im…
View article: Improved Fp-Growth Algorithm With Multiple Minimum Supports Using Maximum Constraints
Improved Fp-Growth Algorithm With Multiple Minimum Supports Using Maximum Constraints Open
Association rule mining is one of the most important fields of data mining and knowledge discovery. In this paper, we propose an efficient multiple support frequent pattern growth algorithm which we called “MSFP-growth” that enhancing the …
View article: Imputation Technique For Feature Selection In Microarray Data Set
Imputation Technique For Feature Selection In Microarray Data Set Open
Analyzing DNA microarray data sets is a great challenge, which faces the bioinformaticians due to the complication of using statistical and machine learning techniques. The challenge will be doubled if the microarray data sets contain miss…