This track focuses on the latest innovations in rendering techniques and 3D modeling. Participants will explore how these advancements enhance visual fidelity and user experience in various applications.

This session delves into the role of predictive modeling in engineering, emphasizing its applications in system monitoring and predictive maintenance. Researchers will present methodologies that leverage data for improved decision-making.

This track examines the integration of supervised and unsupervised learning techniques in the field of visualization. The focus will be on how these approaches can enhance data interpretation and insight generation.

This session addresses the challenges and solutions related to anomaly detection in industrial IoT environments. Presentations will cover innovative algorithms and their effectiveness in real-time monitoring.

This track highlights the importance of feature extraction in data analysis and visualization. Participants will discuss various methods and their implications for improving model accuracy and performance.

This session explores the automation of workflows in computer graphics and visualization processes. Attendees will learn about tools and techniques that streamline production and enhance efficiency.