Artificial Intelligence and Wireless Sensors for Smart Manufacturing, Intelligent Quality Control, and Smart Retailing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 1489
Special Issue Editor
Interests: data science; industrial informatics; business analytics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of modern manufacturing, the fusion of artificial intelligence (AI) and wireless sensor technologies heralds a new era of efficiency, precision, and adaptability. This Special Issue will serve as a platform to explore the synergistic relationship between AI and wireless sensor systems in revolutionizing manufacturing processes across diverse industries.
This Special Issue invites contributions from researchers and practitioners at the forefront of AI-driven smart manufacturing and wireless sensor technology development. The scope encompasses a wide range of topics, including, but not limited to, the following:
- AI-enabled Predictive Maintenance: Innovative approaches leveraging AI algorithms to predict equipment failures and optimize maintenance schedules, thereby minimizing downtime and maximizing productivity.
- Intelligent Process Optimization: Novel applications of AI techniques for optimizing manufacturing processes, enhancing energy efficiency, and improving product quality.
- Wireless Sensor Networks in Manufacturing: Advances in the design, deployment, and management of wireless sensor networks for the real-time monitoring of manufacturing operations, enabling data-driven decision-making and process control.
- Wireless Sensor Networks in Logistics: Advances in the design, deployment, and management of maritime shipping technology, such as container shipping or bulk carriers, logistics, or transportation in the retail sector, enabling data-driven optimization and decision support.
- Machine Learning for Quality Control: The integration of machine learning algorithms into wireless sensor data to facilitate real-time quality control and defect detection in manufacturing processes.
- Smart Factory Automation: Cutting-edge research on AI-driven automation solutions for smart factories, including robotics, autonomous vehicles, and intelligent production systems.
- Cyber-Physical Systems in Manufacturing: Investigations into the development of cyber-physical systems that seamlessly integrate AI, wireless sensors, and manufacturing processes to create agile and responsive production environments.
- Security and Privacy in AI-driven Manufacturing: Discussions on the challenges and solutions pertaining to the security and privacy of data collected by wireless sensor networks in AI-driven manufacturing settings.
Contributions to this Special Issue are expected to present original research findings, methodologies, case studies, and reviews that shed light on the transformative potential of AI and wireless sensor technologies in the context of smart manufacturing. By fostering interdisciplinary dialogue and showcasing cutting-edge research, we hope that this Special Issue will accelerate the adoption of AI-driven approaches and wireless sensor technologies in manufacturing industries worldwide.
This Special Issue, Artificial Intelligence and Wireless Sensors for Smart Manufacturing, Intelligent Quality Control, and Smart Retailing, may feature, but will not be limited to, the above-mentioned topics. Today, inspired by artificial intelligence and wireless sensors, a paradigm shift has significantly influenced academic researchers and industrial practitioners. In a big-data-driven era, sensor data composed of signals or images are widely adopted to help firms achieve smart manufacturing, real-time monitoring, and even digital transformation. We strongly encourage researchers and practitioners to submit their work under the forum of this Special Issue.
Dr. Chih-Hsuan Wang
Guest Editor
Manuscript Submission Information
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Keywords
- pattern recognition
- quality control
- smart manufacturing
- smart retailing
- artificial intelligence.
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