Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning and Data Science Integration (ICMLDSI - 27)
13th - 14th February 2027 , Lagos, Nigeria
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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 Lagos. 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 Lagos conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Lagos 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 ICMLDSI 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:

01
Integrating machine learning with data science
02
Data preprocessing techniques for machine learning
03
Machine learning in big data environments
04
Collaborative filtering in data science
05
Machine learning for time series analysis
06
Data science methodologies for machine learning
07
Challenges in machine learning integration
08
Machine learning for anomaly detection
09
Data-driven insights from machine learning
10
Machine learning in IoT applications
11
Ethical implications of data science integration
12
Machine learning frameworks and libraries
13
Real-time data processing with machine learning
14
Machine learning for predictive maintenance
15
Data science tools for machine learning
16
Interdisciplinary approaches to data science
17
Machine learning for customer behavior analysis
18
Impact of AI on data science methodologies
19
Machine learning in education and training
20
Future of machine learning and data science

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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