August 26, 2025

International Conference on Pattern Recognition Applications and Methods (ICPRAM)

The International Conference on Pattern Recognition Applications and Methods (ICPRAM) serves as a pivotal platform for researchers, practitioners, and industry experts to explore cutting-edge advancements in pattern recognition and its myriad applications. As the demand for sophisticated data analysis and interpretation grows, this conference fosters collaboration and innovation, allowing participants to share insights on emerging trends, methodologies, and technologies. Key topics include machine learning, image and signal processing, and robotic systems, ensuring a comprehensive coverage of both theory and practical implementations. By bringing together diverse perspectives, ICPRAM enhances the discourse surrounding pattern recognition, ultimately inspiring future breakthroughs in this dynamic field. Join us to engage, learn, and contribute to the evolving landscape of pattern recognition research!

Event Detail———–

Venue:

  • Giza

,

  • Egypt

Organized By:

Conference Research Network

Website:

http://conferenceresearchnetwork.com/Conference/7801/ICPRAM/

Enquiry Email Address:

info.conferenceresearchnetwork@gmail.com

Event Start date:

August 26, 2025

Event End date:

August 26, 2025

Deadline for abstracts/proposals:

August 4, 2025

Topic:

Design, Networking, Systems Engineering, Big Data, Cybersecurity, Nuclear Fusion, Thermal Hydraulics, AI, Electronics, Transport, IOT, Control Automation, Civil Engineering, Bioinformatics, Electrical, Internet, Marine Engineering, Smart technology, Vision Engineering, Nuclear Safety, Energy, Manufacturing, Renewable Energy, Wearable technology, Nuclear Waste, Biotechnology, Engineering, Mechanical, Robotics, Aeronautical, Heat Transfer, Plasma Physics, Forestry, Military, Space Environment, Technology, Natural Language, Quantum Engineering, Computer Science, Image Processing, Mining, Aviation Technology, Material Science, Nuclear Engineering, Radiation, Architecture, Computing, Signal Processing, Soft computing, Nuclear Fuel