Call For Paper

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Call for Paper

The ICAMLDS 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 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:

  • Advanced machine learning techniques
  • Deep learning models in data science
  • Ensemble methods for predictive analytics
  • Feature selection in machine learning
  • Model evaluation and validation techniques
  • Transfer learning applications in data
  • Unsupervised learning in big data
  • Reinforcement learning in practice
  • Machine learning for time series data
  • Ethics of machine learning applications
  • Explainable AI in data science
  • Big data challenges for machine learning
  • Applications of neural networks
  • Machine learning in finance analytics
  • Data preprocessing for machine learning
  • Scalable machine learning algorithms
  • Applications of AI in industry
  • Collaborative machine learning frameworks
  • Future directions in machine learning
  • Machine learning for social good

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.

 Registration

Register Now to Confirm Your Participation

 Submit Abstract

Submit Your Paper for Review