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Call For Papers

The ICDAKM 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 Knowledge Management, encouraging applied research, case studies, and industry-driven innovations.

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

  • Big data analytics in engineering
  • Knowledge management systems for data analysis
  • Predictive analytics in engineering projects
  • Data-driven decision making in engineering
  • Visualization techniques for engineering data
  • Machine learning applications in engineering
  • Data governance in engineering environments
  • Case studies in data analytics success
  • Impact of IoT on engineering data management
  • Collaboration tools for data analysis
  • Ethical considerations in data analytics
  • Real-time data processing in engineering
  • Data security in engineering applications
  • Future trends in data analytics
  • Knowledge sharing in data-driven environments
  • Interdisciplinary approaches to data challenges
  • Training for data analytics in engineering
  • Quality assurance in data analytics processes
  • Innovations in data management technologies
  • Impact of cloud computing on engineering data

Evaluation

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
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