Edge Artificial Intelligence and Data Science for IoT-Enabled Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 101
Special Issue Editors
Interests: data processing; applied artificial intelligence; mathematical modelling; soft computing; feature engineering
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; cybersecurity; smart and connected healthcare; disability-focused technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The digital transformation of industry and society is being fueled by a powerful synergy of the Internet of Things (IoT) and edge computing, enabled data streams, and the analytical prowess of modern Data Science. This is no longer a niche technological trend but a fundamental shift in how organizations derive value, optimize operations, and tackle complex global challenges. The impending data surge presents a dual imperative: it demands not only more robust digital infrastructure but also, and more critically, more intelligent and autonomous analytical methodologies. Fortunately, the inherently data-centric nature of edge networks makes them a perfect candidate for Data Science techniques.
By formally integrating the structured lifecycle of Data Science for edge computing, ensuring reproducible scenarios and optimizing the collection, analysis, and visualization of sensor data, a transformative potential can be unlocked. This integration of edge artificial intelligence and data analytics is pivotal, allowing IoT devices to move beyond simple data collection to intelligent pattern recognition and autonomous decision-making at the edge of the network. As the IoT continues its trajectory as a primary engine of global data generation, the role of Data Science will only become more integral. The foremost challenge and opportunity for researchers and practitioners alike lies in seamlessly weaving these two fields together.
The objective of this Special Issue is to bring together original research as well as review articles discussing advanced AI, edge computing, and data preprocessing approaches for IoT-enabled decision-making or proposing a purely mathematical concept for improving the reliability and accuracy of data-driven IoT sensor systems in any form. We also welcome submissions that perform comprehensive theoretical analyses of existing solutions by connecting the ideas and techniques of intelligent edge computing with other disciplines. Review articles focusing on state-of-the-art solutions are also encouraged.
Potential topics to be covered:
Edge computing and Lightweight AI
Data accuracy and IoT sensor system reliability
Data fusion, processing, analysis, and classification
Sensing and imaging for reliable decision making
AI for decision making
Sensor calibration for reliable analysis
IoT in data collection and processing
Data compaction techniques
Edge computing
Mathematical and statistical methods for data analysis and edge computing
Dr. Mohammad Farhan Khan
Dr. Mamoona Humayun
Guest Editors
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Keywords
- artificial intelligence (AI)
- internet of things (IoT)
- edge computing
- data processing
- sensor data
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