ICISKE
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICISKE
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
intelligent systems
knowledge engineering
predictive modeling
supervised learning
unsupervised learning
deep learning
anomaly detection
feature extraction
expert systems
knowledge representation
workflow automation
system monitoring
predictive maintenance
model evaluation
industrial IoT
decision support systems
fuzzy logic
machine learning
pattern recognition
digital twin
Start Date
Wednesday, July 29, 2026
Registration Deadline
Tuesday, July 14, 2026
Submission Deadline
Thursday, July 9, 2026
San Francisco, United States
