Sustainability-Driven Green Innovation: Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System
Green innovation refers to develo** and implementing new technologies, practices,
products, and processes that promote sustainability and reduce environmental impacts. This …
products, and processes that promote sustainability and reduce environmental impacts. This …
[PDF][PDF] Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals
Heart disease is the leading cause of mortality worldwide. Early identification and prediction
can play a crucial role in preventing and treating it. Based on patient data, machine learning …
can play a crucial role in preventing and treating it. Based on patient data, machine learning …
Utilizing Machine Learning in Medical Diagnosis: Systematic Review and Empirical Analysis
During the last few years, several real-life applications have attempted to utilize the proven
high capabilities of artificial intelligence in general and machine learning in particular …
high capabilities of artificial intelligence in general and machine learning in particular …
Cybersecurity Threats in the Era of AI: Detection of Phishing Domains Through Classification Rules
Phishing is a cyber threat where attackers create deceptive websites or emails to exploit
individuals for fraudulent purposes such as providing sensitive information like usernames …
individuals for fraudulent purposes such as providing sensitive information like usernames …
Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Sleep disorder is a disease that can be categorized as both an emotional and physical
problem. It imposes several difficulties and problems, such as distress during the day, sleep …
problem. It imposes several difficulties and problems, such as distress during the day, sleep …
Arabic fake news detection using hybrid contextual features.
Technology has advanced and social media users have grown dramatically in the last
decade. Because social media makes information easily accessible, some people or …
decade. Because social media makes information easily accessible, some people or …
Logistic Regression Classification for Assessing the Risk of Kidney Tumor
The kidneys have the important function of filtering waste products and toxins from the blood
in the human body. Any problems affecting the kidneys can potentially impact their efficiency …
in the human body. Any problems affecting the kidneys can potentially impact their efficiency …
A Comparative Analysis of Discretization Techniques in Machine Learning
Data discretization is a very significant pre-process step that has a great impact on the
predictive performance of several machine learning algorithms. This step aims to convert …
predictive performance of several machine learning algorithms. This step aims to convert …
Feature Selection in Associative Classification-A Review and Comparative Analysis
Feature selection is one of the most important and significant steps that highly affects the
final accuracy of any classification model. It aims to determine the most significant features …
final accuracy of any classification model. It aims to determine the most significant features …
Towards Advancing Distributed Data Mining: Intelligent Agent Systems
Distributed data mining (DDM) deals with the analysis of distributed data and proposes
algorithmic solutions to perform different data analysis and mining operations in a distributed …
algorithmic solutions to perform different data analysis and mining operations in a distributed …