Flex Conference (Physical / Digital)

International Conference on Artificial Neural Networks and Deep Learning (ICANNDL - 26)

Call for Paper

The ICANNDL provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Computer Science Engineering encouraging participation from emerging researchers and fostering academic growth.

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

  • Deep learning architectures and frameworks
  • Neural networks for image processing
  • Applications of deep learning in healthcare
  • Natural language processing with deep learning
  • Generative adversarial networks and applications
  • Transfer learning in deep neural networks
  • Ethics in artificial intelligence and deep learning
  • Deep learning for autonomous systems
  • Reinforcement learning and its applications
  • Challenges in training deep neural networks
  • Deep learning for big data analytics
  • Explainable AI in deep learning models
  • Deep learning for time series forecasting
  • Applications of deep learning in finance
  • Future trends in neural network research
  • Deep learning for robotics and automation
  • Neural network optimization techniques
  • Deep learning in computer vision applications
  • Impact of quantum computing on deep learning
  • Real-world applications of deep learning

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :21st September 2026

Paper Submission Deadline :26th September 2026

Last Date of Registration : 6th October 2026

Date of Conference : 21st - 22nd October 2026