International Conference on Quality Assurance in Engineering via Blockchain

ICQAEB

8th Jan – 9th Jan 2027 Montreal, Canada

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Registration Summary

Conference ICQAEB

Date 8th Jan – 9th Jan 2027

Location Montreal, Canada

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Quality Assurance Frameworks in Blockchain Engineering +

This track focuses on the development and implementation of quality assurance frameworks specifically tailored for blockchain technologies in engineering. It aims to explore methodologies that ensure reliability, security, and compliance in blockchain applications.

SDG 9 SDG 16

02 Predictive Modeling Techniques for Blockchain Systems +

This session will delve into advanced predictive modeling techniques applicable to blockchain systems in engineering contexts. Participants will discuss the integration of machine learning algorithms to enhance decision-making processes and system performance.

SDG 9 SDG 17

03 Deep Learning Approaches for Anomaly Detection in Blockchain +

This track will investigate the application of deep learning methodologies for detecting anomalies within blockchain networks. It will highlight case studies and frameworks that demonstrate the effectiveness of these approaches in maintaining data integrity.

SDG 9 SDG 16

04 Feature Extraction Methods for Blockchain Data Analysis +

This session will cover innovative feature extraction methods that facilitate the analysis of blockchain data in engineering applications. Emphasis will be placed on techniques that improve the interpretability and usability of complex datasets.

SDG 9 SDG 12

05 Process Monitoring and Optimization in Blockchain-Enabled Engineering +

This track will explore strategies for process monitoring and optimization in engineering workflows enhanced by blockchain technology. Discussions will include real-time monitoring solutions and their impact on operational efficiency.

SDG 9 SDG 12

06 Industrial IoT Integration with Blockchain for Quality Assurance +

This session will focus on the integration of Industrial IoT and blockchain technologies to enhance quality assurance in engineering processes. It will examine the synergies between these technologies and their implications for data integrity and workflow optimization.

SDG 9 SDG 11

07 Risk Assessment Models in Blockchain Engineering +

This track will address the development of risk assessment models that leverage blockchain technology for enhanced transparency and accountability in engineering projects. Participants will share insights on identifying and mitigating risks associated with blockchain implementations.

SDG 16

08 Predictive Maintenance Strategies Using Blockchain Data +

This session will explore predictive maintenance strategies that utilize blockchain data for improved asset management in engineering. The focus will be on methodologies that enhance reliability and reduce downtime through data-driven insights.

SDG 9 SDG 12

09 Model Evaluation Techniques for Blockchain Applications +

This track will discuss various model evaluation techniques tailored for blockchain applications in engineering. Participants will examine metrics and frameworks that assess the performance and effectiveness of blockchain-based systems.

SDG 9 SDG 16

10 Compliance Tracking Mechanisms in Blockchain Engineering +

This session will investigate compliance tracking mechanisms enabled by blockchain technology in engineering sectors. Discussions will focus on ensuring regulatory adherence and the role of blockchain in enhancing accountability.

SDG 16

11 Digital Twin Technologies and Blockchain Integration +

This track will explore the integration of digital twin technologies with blockchain to enhance quality assurance in engineering. Participants will discuss the implications of this integration for real-time data management and process optimization.

SDG 9 SDG 12