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Hybrid Event

29th - 30th September 2026 | Malaga, Spain

International Conference on Visual Recognition and Machine Learning (ICVRML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICVRML) 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
Deep learning for visual recognition
02
Image classification techniques and challenges
03
Object detection algorithms and applications
04
Visual data augmentation strategies
05
Transfer learning in visual recognition
06
Ethics in machine learning applications
07
Real-time visual recognition systems
08
Multi-modal visual data analysis
09
Human-computer interaction in visual systems
10
Visual recognition in autonomous vehicles
11
Face recognition and privacy concerns
12
3D object recognition techniques
13
Visual recognition in healthcare applications
14
Adversarial attacks on visual systems
15
Explainable AI in visual recognition
16
Visual recognition in social media
17
Benchmarking visual recognition datasets
18
Visual recognition for augmented reality
19
Challenges in large-scale visual datasets
20
Future trends in visual machine learning

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.

Submit Your Paper Today Register Early
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.