A5091929821- Cardiovascular Health and Risk Factors
- User Authentication and Security Systems
- Advanced Malware Detection Techniques
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare
- Security and Verification in Computing
- Energy Load and Power Forecasting
Imam Abdulrahman Bin Faisal University
2023-2024
Studying password-cracking techniques is essential in the information security discipline as it highlights vulnerability of weak passwords and need for stronger measures to protect sensitive information. While both methods aim uncover passwords, approach task different ways. A brute force algorithm generates all possible combinations characters a specified range length, while dictionary attack checks against predefined word list. This study compares efficiency these using parallel versions...
Obesity is increasingly becoming a prevalent health concern among adolescents, leading to significant risks like cardiometabolic diseases (CMDs). The early discovery and diagnosis of CMD essential for better outcomes. This study aims build reliable artificial intelligence model that can predict using various machine learning techniques. Support vector machines (SVMs), K-Nearest neighbor (KNN), Logistic Regression (LR), Random Forest (RF), Gradient Boosting are five robust classifiers...
With the explosion of global population and technological progress, electricity demand has skyrocketed.To ensure a consistent flow power, it's essential to accurately predict energy usage ahead time.Failure do so could lead potential outages disrupt our daily lives.This research reviews previous in field using data mining techniques analyze consumption data, optimize performance buildings, various industries.The study also aims uncover patterns, correlations, rules worldwide techniques.The...