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 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Explore
All Session Tracks
Track 01
Innovations in Predictive Maintenance
This track focuses on the latest advancements in predictive maintenance methodologies utilizing blockchain technology. Participants will explore case studies and frameworks that enhance maintenance strategies through data-driven insights.
Track 02
Blockchain Applications in Asset Tracking
This session will delve into the integration of blockchain for effective asset tracking in engineering maintenance. Discussions will highlight the benefits of transparency and traceability in asset management.
Track 03
Deep Learning Techniques for Anomaly Detection
This track examines the application of deep learning algorithms in identifying anomalies within engineering systems. Researchers will present innovative approaches that leverage blockchain for secure data handling.
Track 04
Feature Extraction in Industrial IoT Systems
This session will address the critical role of feature extraction in enhancing the performance of industrial IoT systems. Participants will discuss methodologies that incorporate blockchain to ensure data integrity.
Track 05
Supervised and Unsupervised Learning in Maintenance
This track explores the application of both supervised and unsupervised learning techniques in engineering maintenance scenarios. The integration of blockchain solutions will be a focal point for ensuring data reliability.
Track 06
Workflow Automation through Blockchain Solutions
This session will investigate how blockchain technology can facilitate workflow automation in engineering maintenance processes. Attendees will learn about innovative frameworks that streamline operations and enhance efficiency.
Track 07
System Monitoring and Risk Assessment
This track will cover the importance of system monitoring in conjunction with risk assessment strategies. The role of blockchain in securing monitoring data and improving risk management will be emphasized.
Track 08
Predictive Analytics for Process Optimization
This session focuses on the use of predictive analytics to optimize engineering processes. Participants will discuss how blockchain can enhance the accuracy and reliability of predictive models.
Track 09
Digital Twin Technologies in Engineering Maintenance
This track will explore the concept of digital twins and their application in engineering maintenance. The integration of blockchain technology will be discussed as a means to enhance data synchronization and security.
Track 10
Resource Allocation Strategies in Blockchain Environments
This session will examine innovative resource allocation strategies facilitated by blockchain technology. Researchers will present models that optimize resource distribution in engineering maintenance contexts.
Track 11
Maintenance Scheduling and Blockchain Integration
This track will focus on the challenges and solutions related to maintenance scheduling in the context of blockchain integration. Participants will explore how blockchain can improve scheduling accuracy and accountability.