Hybrid Conferencee

International Conference on Deep Neural Networks and Optimization Techniques (ICDNNOT - 26)

9th - 10th July 2026 | Antwerp, Belgium
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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 Antwerp. 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 Antwerp 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 Antwerp conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Antwerp, 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 Antwerp."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDNNOT 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 Computational Science,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
Optimization techniques for neural networks
02
Deep learning architectures for data analysis
03
Applications of neural networks in industry
04
Challenges in training deep neural networks
05
Transfer learning in deep learning models
06
Ethics of AI and neural networks
07
Real-world applications of optimization techniques
08
Visualization of neural network performance
09
Data-driven approaches in optimization research
10
Case studies of neural network applications
11
Future trends in deep learning optimization
12
Collaborative tools for neural network research
13
Impact of AI on optimization problems
14
Deep learning for image processing tasks
15
Neural networks in predictive modeling
16
Role of AI in decision-making processes
17
Data preprocessing for neural networks
18
Interdisciplinary approaches to optimization
19
Deep learning for time series analysis
20
Neural networks in healthcare applications