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Conference Session Tracks

会议分会主题

SESSION TRACKS OF ICIAIM - 27

English

The International Conference on Industry 4.0 and Artificial Intelligence in Manufacturing (ICIAIM - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Artificial Intelligence.

These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.

Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.

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中文

International Conference on Industry 4.0 and Artificial Intelligence in Manufacturing (ICIAIM - 27) 设有多个分会主题，涵盖重要研究领域、前沿趋势与跨学科创新成果。

各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。

每个分会主题均经过精心设置，旨在促进知识共享、学术合作与深入研讨，并与联合国可持续发展目标（SDGs）保持一致。

提交摘要
可持续发展目标对接

SDGs ALIGNED WITH THESE TRACKS

The session tracks of International Conference on Industry 4.0 and Artificial Intelligence in Manufacturing (ICIAIM - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.

本次会议的分会主题通过科研、合作与知识交流，支持以下联合国可持续发展目标。

SDG 8: Decent Work and Economic Growth
SDG 8 – Decent Work and Economic Growth
体面工作和经济增长
SDG 9: Industry, Innovation and Infrastructure
SDG 9 – Industry, Innovation and Infrastructure
产业、创新和基础设施
SDG 12: Responsible Consumption and Production
SDG 12 – Responsible Consumption and Production
负责任消费和生产
SDG 17: Partnerships for the Goals
SDG 17 – Partnerships for the Goals
促进目标实现的伙伴关系
全部分会主题

ALL SESSION TRACKS

Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。

01
Track 主题
Machine Learning Techniques in Manufacturing

This track focuses on the application of machine learning algorithms to enhance manufacturing processes. Participants will explore innovative approaches to data-driven decision-making and process optimization.

SDG 9 SDG 12
02
Track 主题
Intelligent Systems for Smart Manufacturing

This session delves into the development and implementation of intelligent systems that facilitate smart manufacturing. Emphasis will be placed on the integration of AI technologies to improve operational efficiency.

SDG 8 SDG 9
03
Track 主题
Automation and Robotics in Industry 4.0

This track examines the role of automation and robotics in the context of Industry 4.0. Discussions will highlight advancements in robotic systems and their impact on production capabilities.

SDG 9 SDG 12
04
Track 主题
Predictive Analytics for Manufacturing Optimization

This session addresses the use of predictive analytics to enhance manufacturing performance. Participants will discuss methodologies for forecasting and mitigating operational risks.

SDG 9 SDG 12
05
Track 主题
AI Frameworks for Manufacturing Applications

This track explores various AI frameworks tailored for manufacturing applications. The focus will be on the design, implementation, and evaluation of these frameworks in real-world scenarios.

SDG 9 SDG 12
06
Track 主题
Data Analytics in Manufacturing Processes

This session highlights the significance of data analytics in optimizing manufacturing processes. Attendees will examine case studies showcasing successful data-driven initiatives.

SDG 9 SDG 12
07
Track 主题
Innovation Strategies in AI-Driven Manufacturing

This track investigates innovative strategies for integrating AI into manufacturing practices. Discussions will center on fostering a culture of innovation and continuous improvement.

SDG 8 SDG 9
08
Track 主题
Deep Learning Applications in Industrial Settings

This session focuses on the application of deep learning techniques within industrial environments. Participants will explore case studies that demonstrate the transformative potential of deep learning.

SDG 9 SDG 12
09
Track 主题
System Optimization through AI Technologies

This track examines the optimization of manufacturing systems through the application of AI technologies. Emphasis will be placed on methodologies that enhance system performance and reliability.

SDG 9 SDG 12
10
Track 主题
Challenges and Solutions in AI Implementation

This session addresses the challenges faced during the implementation of AI in manufacturing. Participants will discuss potential solutions and best practices for overcoming these obstacles.

SDG 9 SDG 17
11
Track 主题
Future Trends in AI and Industry 4.0

This track explores emerging trends and future directions in the intersection of AI and Industry 4.0. Discussions will focus on the implications of these trends for the manufacturing sector.

SDG 9 SDG 12
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