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.
Input this Professional Credit at checkout for a max $30.00 offset.
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 12 — Responsible Consumption and Production
This track focuses on the latest developments in robotics automation technologies. It aims to explore innovative methodologies that enhance efficiency and productivity in various engineering applications.
This session will delve into the integration of blockchain technology within smart manufacturing environments. Discussions will center on how blockchain can improve transparency, security, and traceability in industrial processes.
This track emphasizes the role of predictive modeling in enhancing robotic systems. It will cover various approaches, including supervised and unsupervised learning, to optimize robotic performance and decision-making.
This session will explore the application of deep learning techniques for detecting anomalies in automated systems. Participants will discuss methodologies that enhance system reliability and reduce downtime.
This track will focus on advanced feature extraction techniques for data generated by industrial IoT devices. The goal is to improve data analysis and decision-making processes in automation engineering.
This session aims to address strategies for optimizing workflows through automation. Participants will share insights on methodologies that streamline processes and enhance operational efficiency.
This track will examine predictive maintenance approaches tailored for robotic systems. The discussions will highlight the importance of data-driven insights in minimizing operational disruptions.
This session will focus on the integration of sensors in robotic systems for improved monitoring capabilities. Participants will explore techniques that facilitate real-time data collection and analysis.
This track will investigate the role of digital twin technologies in enhancing automation engineering practices. Discussions will focus on how digital twins can simulate and optimize real-world processes.
This session will explore the advancements in autonomous systems and their transformative effects on various industries. Participants will discuss the challenges and opportunities presented by these technologies.
This track will examine innovative asset tracking solutions enabled by blockchain technology. The focus will be on enhancing asset visibility and security in automated environments.
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.