Hybrid Conference (In Person / Virtual)

International Conference on Deep Learning and Machine Learning Integration (ICDLML - 27)
27th - 28th April 2027 , Amsterdam, Netherlands
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Amsterdam. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Amsterdam conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Amsterdam and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICDLML 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 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:

01
Deep learning architectures for ML integration
02
Transfer learning in deep learning applications
03
Hybrid models combining deep learning and ML
04
Neural networks for predictive analytics
05
Feature extraction techniques in deep learning
06
Optimization algorithms for deep learning
07
Real-world applications of deep learning
08
Challenges in deep learning integration
09
Explainability in deep learning models
10
Deep learning for time series forecasting
11
Generative models in machine learning
12
Deep reinforcement learning applications
13
Multi-modal learning with deep networks
14
Scalability issues in deep learning
15
Deep learning for image recognition tasks
16
Natural language processing with deep learning
17
Deep learning in healthcare applications
18
Adversarial attacks on deep learning models
19
Data augmentation techniques for deep learning
20
Future trends in deep learning integration

Assessment

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.

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