Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
IEEE

Food Nutritional Detection Personalized Dietary Recommendations for Health Monitoring using Image Processing with Machine Learning

Abstract: A good nutrition monitoring that involves promoting healthy lifestyle and dietary challenges. In this paper, we propose an AI driven nutrition monitoring system utilizing deep learning, ...
IEEE

Optimization of Airline Scheduling Using Reinforcement Learning with PPO Algorithm

Abstract: The Airline Scheduling Problem (ASP) has significant economic and operational value in air trans portation management. However, its complexity and dynamics make traditional mixed integer ...