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Hybrid Event

9th - 10th June 2026 | Alexandria, Egypt

International Conference on Computer Vision and Machine Learning (ICCVML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCVML) 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 Machine Learning, 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
Computer vision applications in industry
02
Deep learning for image recognition
03
Real-time object detection techniques
04
Ethics in computer vision research
05
Image processing techniques for analysis
06
Computer vision in autonomous vehicles
07
Facial recognition technology advancements
08
Augmented reality and computer vision
09
Challenges in computer vision algorithms
10
Applications of computer vision in healthcare
11
Machine learning for video analysis
12
3D reconstruction and computer vision
13
Computer vision in robotics applications
14
Natural language processing and vision integration
15
Future trends in computer vision technologies
16
Collaborative projects in computer vision
17
Impact of computer vision on society
18
Security concerns in computer vision systems
19
Computer vision for environmental monitoring
20
AI-driven solutions for image analysis

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.