Hybrid Conferencee

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

5th - 6th December 2026 | Milan, Italy

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Milan event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICRTDPCS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Real-time data processing techniques
02
Machine learning for control systems
03
Challenges in real-time data analysis
04
Applications of real-time processing
05
Statistical methods for control systems
06
Impact of IoT on real-time processing
07
Data fusion for control system optimization
08
Visualization techniques for real-time data
09
Machine learning algorithms for control systems
10
Future trends in real-time processing
11
Integration of diverse data sources
12
Ethical considerations in real-time systems
13
Adaptive control strategies using AI
14
Collaborative approaches to real-time processing
15
Benchmarking real-time processing models
16
User experience in control system applications
17
Real-time anomaly detection in systems
18
Data-driven decision making in control systems
19
Machine learning frameworks for real-time processing
20
Applications of edge computing in control