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Hybrid Event

5th - 6th September 2026 | Prague, Czech Republic

International Conference on Machine Learning Approaches for Image Analysis in Engineering (ICMLAIE - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLAIE) 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 Image Processing, 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
Supervised learning for image analysis
02
Unsupervised learning techniques for images
03
Transfer learning in image processing
04
Generative models for image synthesis
05
Image classification using deep networks
06
Feature learning for image data
07
Machine learning for medical imaging
08
Data augmentation techniques for images
09
Image analysis in engineering workflows
10
Real-time machine learning for images
11
Image processing challenges in engineering
12
Robustness of machine learning models
13
Integration of AI in image analysis
14
Ethics in machine learning applications
15
Scalable image processing solutions
16
Machine learning for remote sensing data
17
Image analysis for structural health monitoring
18
Predictive modeling using image data
19
Collaborative filtering for image datasets
20
Machine learning in engineering design

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.