Advancement of agro-economy and synthetic agro-data generation using creative AI and drone technology
Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers
A CNN–LSTM-based deep learning model for early prediction of student’s performance
Extended Authentication Based on Geometric Patterns and Transformations
The International Journal on Smart Sensing and Intelligent Systems (S2IS) is an on-line journal to be available to everybody at no cost. From volume 2018 the journal is published in a continous format.
The journal publishes refereed papers quarterly on any topic in the fields of Smart Sensing, Intelligent Sensing, Smart Systems, and/or Intelligent Systems.
Researchers working on any areas of sensing, sensors and systems which they consider as Smart and/or Intelligent may consider submitting their manuscript for possible publication in the journal. The submitted papers will go through a double-blind peer review process and authors will be notified of the outcome in the shortest possible time.
Aims and Scope
International Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to:
- Fundamentals of Smart Sensing Principles and Mechanisms
- Materials and its Applications for Smart Sensors
- Smart Sensing Applications, Hardware, Software, Systems, and Technologies
- Intelligent Control and Management of Sensors
- Smart Sensors in Multidisciplinary Domains and Problems
- Smart Sensors in Science and Engineering
- Ambient Intelligence and Smart Environment
- Analysis, Evaluation, and Test of Smart Sensors
- Remote Sensing Technologies (Multispectral, Hyper-spetral, RADAR, Laser scanning) and Spatial Information Systems in Earth Observation Applications
- Artificial Intelligence and Machine Learning in Engineering Sensing Applications
- Smart Systems: UAVs, Drones, Smart Robots
- Smart Energy Systems, Renewable Energy, Smart Grid and Energy Harvesting
- WSN, IoT and Big Data
- Security, Privacy, and Trust in Smart Sensors and Networks
- Smart Sensing in Network Control System
Open Access Policy
This journal provides immediate open access to its content under the Creative Commons CC BY-NC-ND 4.0 license on the principle that making research freely available to the public supports a greater global exchange of knowledge. Under the CC BY-NC-ND 4.0 license users are free to share the work (copy and redistribute the material in any medium or format), if the contribution is properly attributed and used for non-commercial purposes. The material published in the journal may not be altered or build upon.
ABOUT SOCIETY
International Journal on Smart Sensing and Intelligent Systems was created and is led by Professor Subhas Chandra Mukhopadhyay.
Professor Subhas Chandra Mukhopadhyay, FIEEE, FIEE, FIETE is Professor of Mechanical and Electronics Engineering affiliated with School of Engineering, Macquarie University, Sydney, Australia.
Area of research interest:
- Smart Sensors
- Sensing Technology
- Sensors Fusion
- Sensors Signal Processing
- Sensors Data Analytics
- Wireless Sensor Networks
- Internet of Things
- Intelligent Systems
- Machine Learning
- Artificial Intelligence
- Smart Robotics
- UAV
- Drones
- Smart Homes
- Smart Environments
- Environmental Monitoring
- Smart Transportation
- Cloud Computing
- Big Data
- Energy Harvesting
- Energy Management
- Smart Grids
- Renewable Energy
- Simulation and Modeling
- Power Electronics
- Drives
- Electrical and Electronics Engineering
Archiving
Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.
Plagiarism Policy
The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.