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.
10% OFF
ON THE TOTAL FEEInput this Professional Credit at checkout for a max $30.00 offset.
FAST10
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 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Advancements in Graph Analytics for Predictive Modeling
This track focuses on the latest methodologies in predictive modeling using graph analytics. Researchers are encouraged to present their findings on the effectiveness of these techniques in various engineering applications.
Track 02
Supervised and Unsupervised Learning in Networked Systems
This session explores the applications of supervised and unsupervised learning techniques in analyzing networked engineering systems. Contributions should highlight innovative approaches and their implications for system performance.
Track 03
Deep Learning Techniques for Graph-Based Data
This track examines the integration of deep learning methods with graph-based data structures. Papers should discuss novel architectures and their impact on data interpretation in engineering contexts.
Track 04
Anomaly Detection in Networked Engineering Systems
This session addresses the challenges and solutions related to anomaly detection within networked systems. Contributions should focus on methodologies that enhance the reliability and security of engineering applications.
Track 05
Network Analysis and Its Applications in Engineering
This track invites discussions on network analysis techniques and their practical applications in engineering. Researchers are encouraged to share insights on how these methods can optimize system performance.
Track 06
Feature Extraction Techniques for Graph Data
This session explores innovative feature extraction methods tailored for graph data in engineering systems. Papers should highlight the significance of these techniques in improving model accuracy and efficiency.
Track 07
Social Network Analysis in Engineering Contexts
This track delves into the applications of social network analysis within engineering disciplines. Contributions should focus on how social dynamics influence engineering outcomes and decision-making processes.
Track 08
Sensor Networks and Industrial IoT: Challenges and Solutions
This session addresses the complexities associated with sensor networks and the Industrial Internet of Things. Researchers are invited to present innovative solutions that enhance connectivity and data utilization.
Track 09
Model Evaluation and Optimization in Graph Analytics
This track focuses on the methodologies for model evaluation and optimization in graph analytics. Contributions should discuss best practices and frameworks that ensure robust model performance in engineering applications.
Track 10
Graph Neural Networks: Innovations and Applications
This session explores the latest advancements in graph neural networks and their applications in engineering. Papers should highlight novel approaches and their potential to transform data analysis in networked systems.
Track 11
Data Visualization Techniques for Networked Data
This track examines the role of data visualization in interpreting complex networked data. Researchers are encouraged to present innovative visualization techniques that enhance understanding and decision-making in engineering systems.