Abstract: This study proposes an improved ACO-SVR algorithm for network traffic classification. The improved ACO algorithm is used to optimize the parameters of SVR model. ACO algorithm dynamically ...

2025, Paper: "Machine learning (ML) algorithms are increasingly used to enhance clinical care for a wide range of medical conditions. However, clinical decision-making often involves nuanced, ...

Achieving sustained virological response after DAA therapy lowered the risk for adverse liver-related events solely among those with decompensated HCV cirrhosis. Patients with chronic hepatitis C (HCV ...

🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, ...

Applied Logistic Regression, Random Forest, XG Boost, and Decision Tree on IPL data Identified key predictors: strike rate, wickets, economy, team balance, and match venue.

Abstract: Aiming at the problem that certain parameters in a class of complex industrial engineering cannot be measured in real time by hardware sensors, this paper proposes a multi-model soft ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

1 Industrial Engineering Department, Engineering College, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia 2 Department of Industrial and System Engineering, Zagazig University, Zagazig, ...