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Hybrid Event

3rd - 4th November 2026 | Kathmandu, Nepal

International Conference on Deep Learning for Image-Based Defect Detection (ICDLIBDD - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDLIBDD) 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 Data Science, 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 defect detection
02
Image processing in quality control
03
Data augmentation for defect recognition
04
Real-time defect detection systems
05
Machine learning for image classification
06
Data-driven approaches to defect analysis
07
Computer vision applications in manufacturing
08
Predictive analytics for defect prevention
09
Quality assurance using deep learning
10
Data ethics in image-based detection
11
Automated inspection systems and data
12
Data visualization for defect analysis
13
Collaborative robots in defect detection
14
Impact of AI on manufacturing quality
15
Future trends in defect detection technologies
16
Data management for image datasets
17
User engagement through defect analytics
18
Deep learning model optimization techniques
19
Data-driven insights for manufacturing defects
20
Integration of IoT in defect detection

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.