Leveraging Advanced AI for Smart and Sustainable Industry 4.0 Solutions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 25 August 2025 | Viewed by 4519
Special Issue Editors
2.Department of Research and Innovation, SCIEKORE Institute of Scientific Entrepreneurship and Technology, Batkhela 23020, Pakistan
Interests: IoT; AI; blockchain; interdisciplinary research; IT convergence
Special Issues, Collections and Topics in MDPI journals
Interests: data science; AI; computational intelligence; distributed computing; IoT-based smart systems
Interests: machine learning; blockchain; IoT; renewable energy; smart manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of Industry 4.0 marks a transformative era in manufacturing, characterized by the integration of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and cyber physical human systems. This Special Issue focuses on the latest advancements in AI technologies, including federated learning, explainable AI, and distributed AI, and their applications in modern manufacturing processes. Our aim is to explore how these technologies can enhance efficiency, innovation, and sustainability in manufacturing industries.
We invite research that spans a wide range of topics, reflecting the interdisciplinary nature of this field. We seek contributions that not only advance theoretical knowledge but also demonstrate practical implementations and case studies in manufacturing environments. This Special Issue will gather high-quality research that addresses the challenges and opportunities presented by Industry 4.0, providing insights into the future of manufacturing.
Topics of interest include, but are not limited to, the following:
- Federated Learning in Smart Manufacturing;
- Explainable AI for Quality Control and Predictive Maintenance;
- Distributed AI for Real-Time Process Optimization;
- IoT-Enabled Smart Factories;
- Cyber Physical Human Systems and Their Role in Industry 4.0;
- AI-Driven Supply Chain Management;
- Robotics and Automation in Manufacturing;
- Big Data Analytics for Manufacturing Intelligence;
- Sustainability through AI in Manufacturing Processes;
- Human–AI Collaboration in Production Environments;
- Advanced Manufacturing Technologies for Customization and Flexibility;
- Case Studies and Practical Applications of AI in Manufacturing.
We encourage submissions of original research articles, comprehensive reviews, and case studies that address these topics. Contributions should highlight novel approaches, experimental results, and theoretical advancements that drive the field forward.
Dr. Imran
Dr. Naeem Iqbal
Dr. Prince Waqas Khan
Guest Editors
Manuscript Submission Information
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Keywords
- federated learning in smart manufacturing
- explainable ai for quality control and predictive maintenance
- distributed ai for real-time process optimization
- IoT-enabled smart factories
- cyber physical human systems and their role in Industry 4.0
- AI-driven supply chain management
- robotics and automation in manufacturing
- big data analytics for manufacturing intelligence
- sustainability through ai in manufacturing processes
- human–ai collaboration in production environments
- advanced manufacturing technologies for customization and flexibility
- case studies and practical applications of AI in manufacturing
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