Hybrid Conferencee

International Conference on Transfer Learning and Data Science (ICTLDS - 26)

13th - 14th July 2026 | Oslo, Norway
Sample Abstract
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Conference Brochure
Sample Full Paper
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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 Oslo. 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 Oslo 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 Oslo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Oslo, 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 Oslo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICTLDS 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 Artificial Intelligence,Data Science,Machine Learning, 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 techniques in data science
02
Applications of transfer learning in healthcare
03
Data augmentation methods for transfer learning
04
Challenges in transfer learning for big data
05
Domain adaptation strategies in transfer learning
06
Evaluating transfer learning performance metrics
07
Transfer learning for natural language processing
08
Case studies in transfer learning applications
09
Ethical considerations in transfer learning
10
Transfer learning in computer vision tasks
11
Real-time data processing with transfer learning
12
Cross-domain transfer learning methodologies
13
Transfer learning for time-series data analysis
14
Impact of transfer learning on model robustness
15
Transfer learning in financial data analysis
16
Future trends in transfer learning research
17
Collaborative transfer learning frameworks
18
Transfer learning for IoT data applications
19
Interdisciplinary approaches to transfer learning
20
Transfer learning in social media analytics