Science Cite | Call For Paper

Important Dates

Early Bird Registration

01st Nov 2026

Paper Submission Deadline

11th Nov 2026

Registration Deadline

16th Nov 2026

Conference Date

01st - 02nd Dec 2026

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Early-Bird Registration Reminder:
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Certificate of Presentation – Recognizing Your Contribution:
Receive a Certificate of Presentation to recognize your participation in Denver conference.
Peer Review Process:
The peer review process will begin soon for Denver conference.
Networking with Global Experts:
Join global experts at our conference in Denver.
Opportunity for Scopus-Indexed Journal Publication:
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SDG-Inspired Conference Focus:
Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICMLMA 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 Models and Applications, encouraging applied research, case studies, and industry-driven innovations.

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

Advancements in machine learning algorithms
Applications of machine learning in healthcare
Machine learning for financial forecasting
Deep learning techniques for data analysis
Reinforcement learning in real-world scenarios
Transfer learning in machine learning models
Machine learning for image and video analysis
Ethics in machine learning applications
Machine learning for natural language processing
Scalability challenges in machine learning
Interpretable machine learning models
Machine learning in cybersecurity applications
Federated learning for decentralized data
Machine learning for environmental monitoring
Challenges in deploying machine learning models
Machine learning in personalized medicine
Automated machine learning techniques
Machine learning for social media analytics
Impact of quantum computing on machine learning
Future trends in machine learning research

Assessment

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

On-location / Digital Conference

International Conference on Machine Learning Models and Applications (ICMLMA-26)

01st - 02nd Dec 2026,Denver, USA

In Association With:

Call for Paper