Flex Conference (Physical / Digital)

International Conference on Deep Learning and Data Science Techniques (ICDLDT - 27)

Call for Paper

The ICDLDT 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 Artificial Intelligence, Data Science, Machine Learning 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 techniques for data analysis
  • Applications of deep learning in industry
  • Neural networks for image recognition tasks
  • Deep learning for natural language processing
  • Challenges in training deep learning models
  • Transfer learning in deep learning applications
  • Deep learning for time series forecasting
  • Ethics of deep learning technologies
  • Deep learning in autonomous systems
  • Real-time applications of deep learning
  • Deep learning for speech recognition
  • Generative models in deep learning
  • Deep learning for video analysis
  • Scalability of deep learning models
  • Deep learning frameworks and libraries
  • Interdisciplinary applications of deep learning
  • Deep learning for anomaly detection
  • Future trends in deep learning research
  • Deep learning in financial applications
  • Deep learning for social media analysis

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 :29th May 2027

Paper Submission Deadline :3rd June 2027

Last Date of Registration : 13th June 2027

Date of Conference : 28th - 29th June 2027