Call For Paper

Call for Paper

The ICDNNOT invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Computational Science, Data Science the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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 & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.