Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning and Data Mining in Engineering (ICMLDME - 27)
18th - 19th February 2027 , Venice, Italy
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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 Venice. 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 Venice conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Venice 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 ICMLDME 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 Data Mining, encouraging participation from emerging researchers and fostering academic growth.

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

01
Machine learning algorithms for engineering applications
02
Data mining techniques in structural engineering
03
Predictive analytics for engineering design
04
Big data challenges in engineering fields
05
AI applications in engineering problem solving
06
Data-driven optimization in engineering processes
07
Statistical methods for engineering data analysis
08
Machine learning for materials engineering
09
Engineering data visualization techniques
10
Real-time data processing in engineering
11
Data mining for fault detection in engineering
12
Integration of IoT in engineering analytics
13
Sustainability metrics in engineering projects
14
Data mining for risk assessment in engineering
15
Collaborative engineering through data sharing
16
Machine learning for energy systems
17
Data-driven innovation in engineering education
18
Ethics in machine learning applications
19
Future of data mining in engineering
20
Case studies of successful data mining

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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