HYBRID EVENT: You can participate in person at Dhaka, Bangladesh or Virtually from your home or work

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Call For Papers

The ICDLML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Deep learning architectures for ML integration
  • Transfer learning in deep learning applications
  • Hybrid models combining deep learning and ML
  • Neural networks for predictive analytics
  • Feature extraction techniques in deep learning
  • Optimization algorithms for deep learning
  • Real-world applications of deep learning
  • Challenges in deep learning integration
  • Explainability in deep learning models
  • Deep learning for time series forecasting
  • Generative models in machine learning
  • Deep reinforcement learning applications
  • Multi-modal learning with deep networks
  • Scalability issues in deep learning
  • Deep learning for image recognition tasks
  • Natural language processing with deep learning
  • Deep learning in healthcare applications
  • Adversarial attacks on deep learning models
  • Data augmentation techniques for deep learning
  • Future trends in deep learning integration

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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