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Hybrid Event

29th - 30th September 2026 | Toronto, Canada

International Conference on Visual Pattern Recognition and AI (ICVPRAI - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICVPRAI) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Vision Engineering, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
AI techniques for visual pattern recognition
02
Deep learning in image classification tasks
03
Visual pattern recognition in medical imaging
04
Applications of AI in facial recognition
05
Pattern recognition in remote sensing data
06
Challenges in visual pattern analysis
07
AI-driven visual data interpretation methods
08
Pattern recognition for security applications
09
Visual pattern recognition in robotics
10
Real-time visual pattern detection systems
11
AI methods for image segmentation
12
Visual pattern recognition in video analysis
13
Neural networks for visual pattern learning
14
Applications of visual pattern recognition in art
15
Visual pattern recognition in social media
16
Data-driven approaches to visual recognition
17
Ethics of AI in visual recognition
18
Visual pattern recognition in autonomous systems
19
Future trends in AI and pattern recognition
20
Case studies in visual pattern recognition

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.