Aligned with
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.
SDG 3 — Good Health and Well-being
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
This track focuses on the latest methodologies in biosystem simulation, emphasizing their applications in industrial engineering. Participants will explore innovative approaches that enhance predictive modeling and system monitoring.
This session will delve into the use of supervised and unsupervised learning techniques in the field of biotechnology. Attendees will discuss case studies that illustrate the impact of machine learning on biosystem optimization.
This track examines the role of deep learning algorithms in predictive maintenance within industrial settings. Participants will analyze how these techniques can improve resource allocation and reduce downtime.
This session addresses the challenges and solutions related to anomaly detection in industrial IoT environments. Experts will present methodologies that enhance system reliability and performance monitoring.
This track highlights advanced feature extraction methods that facilitate the analysis of complex biosystem data. Discussions will focus on how these techniques contribute to improved model evaluation and simulation accuracy.
This session explores the integration of workflow automation in biotechnology, emphasizing its benefits for efficiency and productivity. Participants will share insights on best practices and emerging technologies in this area.
This track investigates the application of digital twin technologies for simulating and optimizing industrial processes. Attendees will discuss the implications of digital twins for system integration and operational excellence.
This session focuses on the use of simulation analytics to drive process optimization in industrial settings. Experts will present methodologies that leverage data-driven insights for enhanced decision-making.
This track covers the latest advancements in computational modeling techniques relevant to biotechnology. Participants will explore case studies that demonstrate the effectiveness of these models in real-world applications.
This session examines the intersection of smart manufacturing and biosystem integration, highlighting innovative strategies for enhancing production efficiency. Discussions will focus on the role of technology in facilitating seamless integration.
This track addresses the critical issues surrounding model evaluation and validation in biosystem simulation. Participants will engage in discussions on best practices and methodologies to ensure robust and reliable models.
SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.
PLEASE READ: CLOSING ENABLED IN 20S