Hybrid Conferencee

International Conference on Transfer Learning in Engineering Applications (ICTLEA - 26)

6th - 7th November 2026 | Copenhagen, Denmark

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Copenhagen. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Copenhagen event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Copenhagen conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Copenhagen, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Copenhagen."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICTLEA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Transfer learning in engineering domains
02
Domain adaptation techniques for engineers
03
Improving model performance with transfer learning
04
Applications of transfer learning in robotics
05
Case studies in engineering transfer learning
06
Challenges in transfer learning applications
07
Transfer learning for predictive maintenance
08
Multi-task learning in engineering contexts
09
Transfer learning for sensor data analysis
10
Deep learning and transfer learning synergy
11
Cross-domain knowledge transfer methods
12
Evaluating transfer learning effectiveness
13
Real-world applications of transfer learning
14
Data scarcity solutions using transfer learning
15
Transfer learning in structural engineering
16
Ethical considerations in transfer learning
17
Transfer learning for smart manufacturing
18
Innovative architectures for transfer learning
19
Transfer learning in environmental engineering
20
Future directions in transfer learning research