Abstract: The food calorie prediction systems depend on image recognition, basic Machine Learning (ML) models, and manual input without adequate portion size analysis. It is well-recognized that these ...
Abstract: This work develops a Convolutional Neural Network (CNN) for anomaly detection (AD) in Software-Defined Networking (SDN) environments, utilizing six flow dimensions: bits per second, packets ...
Abstract: Accurate power load forecasting is a cornerstone for the reliable operation and economic dispatch of modern power grids, particularly as the integration of Variable Renewable Energy ...