Submission Field

iSemantic 2026 invites high-quality paper submissions within the IEEE technical scope, topics of interest include, but are not limited to:

  1. Bioengineering & e-Health Technology
    • Biomedical Technology
    • Artificial Intelligence in Healthcare
    • Big Data and Informatics
    • Mobile health application
    • Wearable health devices
  2. Communication, Network & Broadcasting
    • Computer Network
    • Network Security
    • Wireless Network
    • Internet of Things
    • Digital Broadcasting
  3. Components, Circuits, Devices & Systems
    • Electronic Component and Packaging
    • Analog, Digital & Mixed-Signal Circuits
    • Semiconductor Devices & Sensors
    • Embedded, Intelligent & Connected Systems
    • Emerging Technologies in Circuits, Devices & Systems
  4. Computing & Processing (Hardware/Software)
    • Computer Architecture, Microprocessors & Embedded Hardware
    • Software Engineering, Programming Systems & Applications
    • Artificial Intelligence, Machine Learning & Intelligent Computing
    • High-Performance, Cloud & Distributed Computing Systems
    • Cybersecurity, Dependable Systems & Information Processing
    • e-Computing Technology
  5. Power, Energy, & Industry Applications
    • Power Systems, Smart Grid & Grid Modernization
    • Renewable Energy, Energy Storage & Electrification
    • Power Electronics, Converters & Electric Drives
    • Industrial Power Systems & Industry Applications
    • Intelligent, Reliable & Sustainable Energy Applications
  6. Robotics & Control Systems
    • Robotics, autonomous systems, and intelligent machines
    • Control theory, dynamical systems, modeling, and system identification
    • Motion planning, navigation, localization, and perception
    • Automation, mechatronics, and industrial robotic applications
    • Networked, cyber-physical, and AI-enabled control systems
  7. Signal Processing & Analysis
    • Signal processing theory, algorithms, and computational methods
    • Statistical signal processing, estimation, detection, and inference
    • Speech, audio, image, and video processing and analysis
    • Communication, radar, sonar, and sensor signal processing
    • Machine learning for signal processing and intelligent signal analysis

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