Hybrid Conferencee

International Conference on Deep Learning and Data Science Techniques (ICDLDT - 26)

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

Call for Paper

The ICDLDT 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
Deep learning techniques for data analysis
02
Applications of deep learning in industry
03
Neural networks for image recognition tasks
04
Deep learning for natural language processing
05
Challenges in training deep learning models
06
Transfer learning in deep learning applications
07
Deep learning for time series forecasting
08
Ethics of deep learning technologies
09
Deep learning in autonomous systems
10
Real-time applications of deep learning
11
Deep learning for speech recognition
12
Generative models in deep learning
13
Deep learning for video analysis
14
Scalability of deep learning models
15
Deep learning frameworks and libraries
16
Interdisciplinary applications of deep learning
17
Deep learning for anomaly detection
18
Future trends in deep learning research
19
Deep learning in financial applications
20
Deep learning for social media analysis