Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 7 — Affordable and Clean Energy
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Explore
All Session Tracks
Track 01
Innovative Approaches in Predictive Modeling
This track focuses on advanced methodologies in predictive modeling tailored for engineering applications. Participants will explore case studies and novel algorithms that enhance forecasting accuracy in various engineering domains.
Track 02
Data Mining Techniques for Process Optimization
This session will delve into the application of data mining techniques to optimize engineering processes. Attendees will discuss strategies for improving efficiency and reducing costs through data-driven insights.
Track 03
Anomaly Detection in Engineering Systems
This track addresses the critical role of anomaly detection in maintaining the integrity of engineering systems. Researchers will present innovative methods for identifying irregularities in sensor data and their implications for system reliability.
Track 04
AI Applications in Engineering Analytics
This session highlights the integration of artificial intelligence in engineering analytics. Participants will examine how AI-driven solutions can enhance data interpretation and decision-making processes in engineering contexts.
Track 05
Sensor Data Analysis for Industrial Applications
This track focuses on the analysis of sensor data to drive improvements in industrial applications. Presentations will cover techniques for extracting actionable insights from large volumes of sensor-generated data.
Track 06
Workflow Analytics in Engineering Projects
This session explores the role of workflow analytics in optimizing engineering project management. Discussions will center on methodologies for analyzing workflows to enhance productivity and collaboration.
Track 07
Industrial Analytics: Trends and Innovations
This track will showcase the latest trends and innovations in industrial analytics. Participants will share insights on how data mining is transforming industrial operations and driving competitive advantages.
Track 08
Fault Detection Techniques in Engineering
This session focuses on the development and application of fault detection techniques in various engineering fields. Researchers will present their findings on methods that improve fault identification and system maintenance.
Track 09
Engineering Informatics: Bridging Data and Decision-Making
This track emphasizes the importance of engineering informatics in facilitating data-driven decision-making. Presentations will explore frameworks that connect data analysis with practical engineering solutions.
Track 10
Data Mining for Sustainable Engineering Practices
This session investigates the role of data mining in promoting sustainable engineering practices. Participants will discuss how data-driven approaches can lead to environmentally friendly and resource-efficient engineering solutions.
Track 11
Emerging Trends in Data-Driven Engineering
This track will cover emerging trends in data-driven engineering practices. Researchers will present innovative applications of data mining that are shaping the future of engineering disciplines.