Aims & Scope

Aims

The journal Sensors and AI (SAI) is an interdisciplinary, peer-reviewed open access journal dedicated to the exploration and dissemination of cutting-edge research on sensor technologies and artificial intelligence (AI), with a focus on the interdisciplinary areas of sensor technologies and AI. The journal aims to provide a platform for researchers and practitioners to share innovative findings, theoretical developments, and practical applications that advance the integration of AI and various types of sensors, sensing technologies, and multi-sensor fusion with diversified applications. Our goal is to foster collaboration and knowledge exchange across diverse fields, contributing to the rapid evolution and application of intelligent sensing systems in numerous domains. Sensors and AI is published quarterly online by Scilight Press.

Scope

Sensors and AI (SAI) encourages submissions that present novel methodologies, significant empirical studies, and comprehensive reviews that contribute to the advancement of sensor technologies and AI. The journal welcomes high-quality original research articles, review papers, communications, and technical notes that address, but are not limited to, the following topics:

  • Innovations in sensor design and fabrication
  • Miniaturization and integration of sensor systems
  • Development of multi-sensor systems and sensor networks
  • Multi-sensor fusion and applications
  • Algorithms for sensor data interpretation
  • Wearable and implantable sensors, devices, and electronics
  • Signal processing in sensor networks
  • Data fusion and integration techniques for heterogeneous sensor data
  • Smart cities and intelligent transportation systems
  • Biomedical sensing
  • Environmental monitoring and disaster management
  • Internet of Things (IoT)
  • Computer vision
  • Deep learning and machine learning
  • Real-time data analytics
  • Big data analytics, understanding complex networks
  • Edge computing and AI at the sensor level
  • Automation and control systems
  • Intelligent robotics
  • Decision-support systems
  • Human-computer Interaction
  • Addressing challenges in AI and sensor interoperability
  • Ensuring security and privacy in AI-driven sensor systems
  • Scalability and efficiency in large-scale sensor deployments
  • Theoretical advancements in AI for sensor systems
  • Application of AI in various domains
  • AI techniques in sensor data analysis