This paper investigates the use of AI-driven predictive modeling to improve urban mobility in metropolitan cities. The study explores how machine learning algorithms can optimize transportation systems, reduce traffic congestion, and enhance the efficiency of public transport services through real-time data analysis.

Jonathan Michael Peterson, Wei Jun Tan, Priya Sharma, Maria Elena Gomez, Cheng Wei Li

This research focuses on the integration of human-centered AI and robotics to design autonomous healthcare assistive devices. The paper presents various AI-powered solutions for enhancing patient care, particularly for elderly and disabled individuals, by providing personalized support through assistive robots and AI-driven feedback systems.

Elena Maria Rossi, Cheng Yu Zhang, Wei Li Tan, Taro Hiroshi Nakamura, Isabella Claire Roberts

This article delves into AI-based cognitive health monitoring systems designed for elderly populations. It highlights the use of machine learning and AI technologies in detecting early signs of cognitive decline, thus enabling timely interventions to improve quality of life for aging individuals.

Michael Julian Fields, Wei Li Zhang, Priya Nair, Isabella Claire Roberts, Laura Isabelle Fisher

This paper explores the advancements in human-centered AI for mental health applications, particularly focusing on personalized therapy and emotion recognition technologies. It investigates how AI algorithms can support mental health professionals in diagnosing, treating, and monitoring patients in real-time through wearable and mobile technology.

Elena Maria Rossi, Michael Julian Fields, Taro Hiroshi Nakamura, Cheng Yu Zhang, Maria Elena Gomez