This paper investigates the use of deep learning models in predicting patient health outcomes in smart healthcare systems. By analyzing medical data, these models can identify patterns and predict health events, enabling healthcare providers to make proactive decisions and improve patient care outcomes.

Michael Julian Harris, Aditya Ramesh Kulkarni, Taro Hiroshi Nakamura, Cheng Wei Li, Elena Maria Rossi

This research explores how AI-based predictive models can optimize supply chain management. By analyzing historical data and forecasting future demand, these models can help companies make data-driven decisions, reduce costs, improve inventory management, and ensure timely deliveries.

Jonathan Michael Peterson, Wei Li Zhang, Maria Elena Rossi, Aditya Ramesh Kulkarni, Cheng Wei Li

This paper presents AI-based environmental monitoring systems for real-time disaster response. By integrating data from multiple sensors and analyzing environmental conditions, AI systems can detect potential disasters like earthquakes and floods, enabling timely evacuation and resource allocation for effective management.

Wei Jun Tan, Cheng Wei Li, Taro Hiroshi Nakamura, Michael Julian Harris, Maria Elena Rossi

This study explores how AI enhances cybersecurity by improving threat detection and response systems. By analyzing network traffic and identifying anomalous behavior, AI algorithms can detect cyber-attacks in real-time, providing timely alerts and responses to prevent data breaches and protect digital infrastructure.

Michael Julian Peterson, Cheng Wei Li, Aditya Ramesh Kulkarni, Taro Hiroshi Nakamura, Wei Li Zhang

This paper examines how natural language processing (NLP) is used to enhance customer support and engagement systems. By enabling machines to understand and process human language, NLP can improve communication, automate customer inquiries, and provide personalized responses, significantly enhancing customer satisfaction.

Jonathan Michael Peterson, Maria Elena Rossi, Wei Jun Tan, Taro Hiroshi Nakamura, Cheng Wei Li