You are invited to submit your papers to the conference. After peer review process, accepted papers will be published in the ICIS-2023 Conference Proceedings and presented papers will be submitted to Publication house after each paper is thoroughly reviewed and (if any) satisfactorily modified according to the reviewer comments. ICIS-2023 solicits original, high impact research papers on all topics related to the development and adoption of the intelligent system. Contributors are invited in the following tracks:
TRACK 1: Intelligent Data Analytics and Technologies
- Data visualization and Data pre-processing
- Data Engineering and database mining techniques
- Tools and applications
- Domain knowledge in data analysis
- Evolutionary algorithms
- Statistical pattern recognition
- Algorithm and simulation
- Parallel and distributed data analysis
- Big data analysis
- Multimedia analysis
- Complex data analysis
- Web information analysis
- Economic data analysis
- Biomedical data analysis and Medical informatics
TRACK 2: Intelligent Computing
- Intelligent Human-Machine Interaction
- Intelligent Hybrid Systems
- Intelligent Behaviour and Intelligent Control
- Intelligent Decision Making Systems
- Intelligent Information Processing
- Intelligent Measurement
- Intelligent Pattern Recognition
- Internet of Things
- Intuitionist Fuzzy Sets
- Quantum Computing
- Mobile Computing
- Cellular automata /cellular computing
- Biologically-inspired computing
- Collective intelligence in computing
TRACK 3: Intelligent Communication
- Intelligent wireless sensor networks
- Intelligent satellite communications
- Intelligent radar signal processing
- Machine learning algorithm & cognitive radio networks
- Machine learning and information processing in WSN
- Decentralized learning for wireless communication systems
- Intelligent communication
- Communication network structure
- Machine to machine communication networks
- Network applications and services
- Intelligent Wireless ad hoc and sensor networks
- Signal processing for communications
- Network management and traffic engineering
- Sensor network security and solutions
- Embedded networks and sensor network optimizations
TRACK 4: Intelligent Security Mechanism and Policies
- Intelligent Data security and Data privacy
- Intelligent Communication protocol security
- Security in new paradigms of intelligent data
- Cyber hacking, next generation fire wall of intelligent data
- Data sharing and information visualization for security informatics
- Digital forensics in intelligent data
- Intelligent Big data security, Database security
- Web-based intelligence monitoring and analysis
- Intelligent database and security
- Intelligent data mining in security, optimization, and cloud computing
- Cyber threat intelligence and implementations
- Spatial-temporal data analysis for crime analysis and security informatics
- Cloud-based intelligent data and security issues
- Tele-health security in intelligent data
- Cloud computing and networking models
- Heterogeneous architecture for cloud-based intelligent data
- Dynamic resource sharing algorithm for cloud-based intelligent data
- Load balance for cloud-based intelligent data
- Intelligent IoT-based Device security
TRACK 5: Robotics and Embedded Systems Technologies
- Intelligent Process and Industrial automation
- Intelligent automation
- Intelligent Automation in energy systems
- Smart Planning, scheduling and coordination
- Intelligent Instrumentation systems and applications
- Intelligent Modelling and identification
- Micro robots and micro-manipulation
- Intelligent Search, rescue and field robotics
- Intelligent Robot sensing and data fusion
- Localization, navigation and mapping
- Medical robots and bio-robotics
- Hardware/software co-design
- Reconfigurable hardware design
- Embedded software, Real-time operating systems
- Middleware and virtualization
- Hybrid systems-on-chip, and Programmable devices
- Embedded system reliability
- Embedded applications
TRACK 6: Real-Time Computing and Algorithms
- Real-time and embedded operating systems
- Middleware and runtime systems for real-time and embedded systems
- CPS and IoT infrastructure
- Hardware architectures for real-time/embedded systems
- Intelligent system-level optimization and co-design techniques
- Verification and validation methodologies
- Intelligent Real-Time Scheduling
- Intelligent workload models for real-time systems
- Temperature/Energy-aware Scheduling
- Scheduling over heterogeneous architectures
- Programming Languages and Run-Time Systems
- Communication Networks and Protocols of Real-Time Systems
- Time-Sensitive Media Processing and Transmissions
- Latency and throughput in Real-Time Databases