AI-Enhanced Industrial Sensors: From Adaptive Detection to Smart Manufacturing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 25 April 2026 | Viewed by 6
Special Issue Editor
Interests: artificial intelligence; signal processing; intelligent control; intelligent sensors; smart manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid advancement of artificial intelligence (AI), industries are moving beyond adaptive detection into the era of smart manufacturing. This Special Issue explores the future trajectory of AI in the industrial sector, examining how its applications can evolve from foundational tasks—such as defect detection and equipment monitoring—to comprehensive, intelligent process management and data-driven decision-making.
By integrating deep learning, big data analytics, and cloud computing, AI enhances product quality, reduces operational costs, accelerates development cycles, and strengthens industrial competitiveness. This issue highlights AI’s transformation from a standalone tool into a holistic solution spanning design, production, quality assurance, and after-sales service—ultimately enabling greater flexibility, efficiency, and customization in manufacturing.
Sensors play a pivotal role in this transition. As the primary data acquisition gateway, they capture real-time, high-precision data from production lines, equipment, and environments—including temperature, pressure, vibration, imagery, and sound. Without reliable sensing data, AI algorithms lack the foundation for accurate predictions or decisions.
Topics of interest include the following:
- AI-enhanced defect detection and anomaly prediction;
- Real-time sensor data fusion for adaptive process control;
- Self-calibrating and energy-autonomous sensor systems;
- Human–machine collaboration through intelligent sensing.
In summary, this Special Issue investigates how AI advances from intelligent detection to integrated smart manufacturing, emphasizing its impact on industrial efficiency, quality, and flexibility. It also underscores the critical synergy between AI and sensor technologies in driving innovation for the future of industry.
Prof. Dr. Rey-Chue Hwang
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- smart manufacturing
- adaptive detection
- deep learning
- big data analytics
- cloud computing
- process optimization
- quality assurance
- decision support systems
- sensors
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