Advances in Intelligent System Engineering for Smart Sensor Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 April 2026 | Viewed by 339
Special Issue Editor
Interests: intelligent control systems; AI algorithm applications; satellite communication systems; intelligence algorithm applications; and bi-signal processing and detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of intelligent system engineering has revolutionized the development and application of smart sensors, enabling highly efficient, adaptive, and autonomous sensing solutions across multiple domains. The integration of artificial intelligence (AI), machine learning (ML), and edge computing has significantly enhanced the capabilities of smart sensors, allowing real-time data processing, pattern recognition, and predictive analytics. Moreover, advancements in embedded systems, wireless sensor networks (WSNs), and energy-efficient architectures have facilitated the deployment of smart sensor technologies in various fields, including healthcare, environmental monitoring, industrial automation, and the Internet of Things (IoT).
This Special Issue aims to explore recent breakthroughs in intelligent system engineering that contribute to the evolution of smart sensor applications. We welcome original research articles, reviews, and case studies focusing on novel methodologies, hardware and software innovations, optimization techniques, and interdisciplinary approaches that improve sensor efficiency, accuracy, and adaptability. Contributions discussing challenges, emerging trends, and future directions in this rapidly evolving field are also encouraged.
Topics of interest include, but are not limited to, the following:
- AI-driven smart sensor technologies;
- Machine learning and deep learning for sensor data analysis;
- Edge computing and real-time decision making in smart sensors;
- Embedded systems for intelligent sensing;
- Wireless sensor networks and IoT-based smart sensors;
- Energy-efficient and self-powered sensor designs;
- Sensor fusion techniques and multimodal data processing;
- Smart sensing applications in healthcare, environmental monitoring, and industrial automation;
- Security, privacy, and reliability in intelligent sensor networks;
- Emerging trends and future directions in intelligent systems for smart sensors.
Prof. Dr. Te-Jen Su
Guest Editor
Manuscript Submission Information
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Keywords
- intelligent system engineering
- smart sensors
- Internet of Things (IoT)
- machine learning (ML)
- edge computing
- embedded systems
- wireless sensor networks (WSNs)
- artificial intelligence (AI)
- industrial automation and real-time monitoring
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