Development of Flexible and Adaptable Fault Detection and Diagnosis Algorithm for Induction Motors Based on Self-organization of Feature Extraction

Recognition of Passports Using a Hybrid Intelligent System

Rule Extraction for Coagulant Control in Water Treatment Process Using Fuzzy c-Means Clustering with Statistical Indices

데이터마이닝 로드맵 개발과 수처리 응집제 제어를 위한 적용

Reliable Data Selection with Fuzzy Entropy

Prediction Modeling for Ingot Manufacturing Process Utilizing Data Mining Roadmap Including Dynamic Polynomial Neural Network and Bootstrap Method

Process Control and Management of Etching Process Using Data Mining with Quality Indexes

Directed Knowledge Discovery Methodology for the Prediction of Ozone Concentration

Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator’s Knowledge

Application of Time-Series Data Mining for Fault Diagnosis of Induction Motors