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Hybrid Event

25th - 26th August 2026 | Johannesburg, South Africa

International Conference on Image Processing with Machine Learning (ICIPML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICIPML) 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
Deep learning techniques for image processing
02
Image classification using machine learning
03
Object detection algorithms in images
04
Image segmentation methods and applications
05
Transfer learning for image analysis
06
Generative adversarial networks in imaging
07
Image enhancement using AI techniques
08
Real-time image processing applications
09
Medical image analysis with ML
10
Ethics in image data usage
11
Multimodal image processing approaches
12
3D image reconstruction using ML
13
Image retrieval systems powered by AI
14
Facial recognition technologies and challenges
15
Image quality assessment using machine learning
16
AI in satellite and aerial imagery
17
Augmented reality applications in imaging
18
Image processing for autonomous vehicles
19
Machine learning in digital forensics
20
Future trends in image processing technologies

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.