Mubarak Albarka Umar

Publications

• Effects of Feature Selection and Normalization on Network Intrusion Detection
• Student Academic Performance Prediction using Artificial Neural Networks: A Case Study
• Robust estimation and outlier detection based on linear regression model
• Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
• Comprehensive Study of Software Testing: Categories, Levels, Techniques, and Types
• A Hybrid Intrusion Detection with Decision Tree for Feature Selection
• A Hybrid Intrusion Detection with Decision Tree for Feature Selection
• Web Load Balancing Method Based On Resource Request Division
• Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
• A Study of Automated Software Testing: Automation Tools and Frameworks
• Analysis and Design of Fire Emergency Application (FEAP)
• A Comparative Study Of Dynamic Software Testing Techniques
• Effects of Feature Selection and Normalization on Network Intrusion Detection
• A Hybrid Intrusion Detection with Decision Tree for Feature Selection
• Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
• Fighting Crime and Insecurity in Nigeria: An Intelligent Approach
• Effects of Feature Selection and Normalization on Network Intrusion Detection
• Effects of feature selection and normalization on network intrusion detection
• An explainable artificial intelligence and Internet of Things framework for monitoring and predicting cardiovascular disease
• LRCMP: A Sequential Statistical Framework for Predicting Cancer Mortality Rate
• Cyber-Attack Detection in Smart Grids: A Comparative Analysis of Supervised and Semi-Supervised Methods
• Simulating and Evaluating the Performance of a Cloud Computing Datacenter Using Queuing Model
• Network intrusion detection using wrapper-based decision tree for feature selection
• A hybrid intrusion detection with decision tree for feature selection
• A Time Series Regression-based Model for Predicting the Spread of Dengue Disease
• Autoencoder-based Arrhythmia Detection using Synthetic ECG Generation Technique