Hybrid Conferencee

International Conference on Deep Learning Techniques for Data Analytics (ICDLTDA - 26)

6th - 7th July 2026 | Ruse, Bulgaria
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
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 Ruse. 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 Ruse 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 Ruse conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ruse, 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 Ruse."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDLTDA 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
Deep learning applications in data analytics
02
Neural networks for predictive modeling
03
Big data and deep learning integration
04
Real-time analytics with deep learning
05
Ethics of deep learning in analytics
06
Case studies in deep learning applications
07
Data preprocessing for deep learning models
08
Challenges in deep learning analytics
09
User experience in deep learning tools
10
Future trends in deep learning techniques
11
Deep learning for image and video data
12
Natural language processing with deep learning
13
Data quality and deep learning outcomes
14
Collaborative deep learning approaches
15
Cloud computing for deep learning analytics
16
Data mining with deep learning methods
17
Impact of deep learning on analytics
18
Social media analytics using deep learning
19
Integrating AI in deep learning systems
20
Deep learning for time series analysis