International Conference on Deep Neural Networks and Optimization Techniques - (ICDNNOT-27)


10th - 11th April, 2027 | Las Vegas, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

11th March, 2027

Paper Submission Deadline

16th March, 2027

Last Date Of Registration

26th March, 2027

Date Of Conference

10th - 11th April, 2027

Downloads

Call for Papers

The (ICDNNOT-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computational Science, Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Optimization techniques for neural networks
  • Deep learning architectures for data analysis
  • Applications of neural networks in industry
  • Challenges in training deep neural networks
  • Transfer learning in deep learning models
  • Ethics of AI and neural networks
  • Real-world applications of optimization techniques
  • Visualization of neural network performance
  • Data-driven approaches in optimization research
  • Case studies of neural network applications
  • Future trends in deep learning optimization
  • Collaborative tools for neural network research
  • Impact of AI on optimization problems
  • Deep learning for image processing tasks
  • Neural networks in predictive modeling
  • Role of AI in decision-making processes
  • Data preprocessing for neural networks
  • Interdisciplinary approaches to optimization
  • Deep learning for time series analysis
  • Neural networks in healthcare applications

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.