(ICRTDPCS - 26) | Hybrid Event
22nd - 23rd July 2026 | Feira de Santana, Brazil

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International Conference on Real-Time Data Processing for Control Systems
(ICRTDPCS - 26)

22nd - 23rd July 2026 Feira de Santana, Brazil (Hybrid Event)

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Call for Paper

The ICRTDPCS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Real-time data processing techniques
  • Machine learning for control systems
  • Challenges in real-time data analysis
  • Applications of real-time processing
  • Statistical methods for control systems
  • Impact of IoT on real-time processing
  • Data fusion for control system optimization
  • Visualization techniques for real-time data
  • Machine learning algorithms for control systems
  • Future trends in real-time processing
  • Integration of diverse data sources
  • Ethical considerations in real-time systems
  • Adaptive control strategies using AI
  • Collaborative approaches to real-time processing
  • Benchmarking real-time processing models
  • User experience in control system applications
  • Real-time anomaly detection in systems
  • Data-driven decision making in control systems
  • Machine learning frameworks for real-time processing
  • Applications of edge computing in control
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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