International Conference on Anomaly Detection in Industrial Systems Using Data Science - (ICADISS-26)


21st - 22nd November, 2026 | Stavanger, Norway

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

22nd October, 2026

Paper Submission Deadline

27th October, 2026

Last Date Of Registration

6th November, 2026

Date Of Conference

21st - 22nd November, 2026

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Call for Papers

The (ICADISS-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Anomaly detection techniques in industrial data
  • Machine learning for predictive maintenance
  • Data-driven approaches to fault detection
  • Real-time monitoring of industrial systems
  • Statistical methods for anomaly identification
  • Impact of IoT on anomaly detection
  • Case studies in industrial anomaly detection
  • Unsupervised learning for anomaly detection
  • Deep learning for time-series anomalies
  • Data preprocessing techniques for anomaly detection
  • Challenges in real-world anomaly detection
  • Integration of sensor data for analysis
  • Visualization techniques for anomaly detection
  • Benchmarking anomaly detection algorithms
  • Applications in manufacturing and production
  • Adaptive learning for dynamic systems
  • Collaborative filtering for anomaly detection
  • Ethical implications of anomaly detection
  • Future directions in anomaly detection research
  • Machine learning frameworks for industrial applications

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.