About the journal
Aims
The International Journal on Smart Sensing and Intelligent Systems aims to provide a high-quality international platform for the publication of original research, advanced technological developments, and innovative applications in the areas of smart sensing, intelligent systems, sensor networks, and related interdisciplinary fields. ...
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Journal details
Aims and scope
Aims
The International Journal on Smart Sensing and Intelligent Systems aims to provide a high-quality international platform for the publication of original research, advanced technological developments, and innovative applications in the areas of smart sensing, intelligent systems, sensor networks, and related interdisciplinary fields.
The journal seeks to advance both theoretical and applied knowledge by publishing rigorous, peer-reviewed research that contributes to the design, development, integration, and application of smart sensing and intelligent system technologies. It encourages contributions from researchers, engineers, industry practitioners, and interdisciplinary teams working at the interface of sensing technologies, artificial intelligence, embedded systems, signal processing, automation, and real-world applications:
The specific aims of the journal are to:
- promote high-quality research in smart sensing technologies and intelligent systems;
- support interdisciplinary research linking sensing, computation, communication, automation, and decision-making;
- encourage the development of innovative methods, devices, algorithms, and applications;
- facilitate the translation of research outcomes into industrial, environmental, biomedical, societal, and technological applications;
Scope
The journal welcomes original research articles, review papers, short communications, and application-oriented studies in areas including, but not limited to:
- Smart sensors and intelligent sensing technologies;
- Sensor design, sensor fusion, and sensor calibration;
- Wireless sensor networks and Internet of Things systems;
- Artificial intelligence and machine learning for sensing systems;
- Signal processing, image processing, and data analytics for sensor applications;
- Embedded systems, edge computing, and hardware implementation for sensing;
- Biomedical, wearable, implantable, and healthcare sensing systems;
- Smart environments, smart cities, and ambient intelligence;
- Industrial automation, cyber-physical systems, and Industry 4.0 applications;
- Robotics, control systems, autonomous systems, and intelligent automation;
- Environmental, structural, agricultural, transport, energy, and security applications of sensing technologies;
- Multidisciplinary applications of smart sensing and intelligent systems.