Technical Sessions
WeP1
Learning
Poster,
Spatial Chat,
08:45~10:15
Chair: Prof. Jaehyun Yoo (Sungshin Women's University, Korea)
WeP1-1
08:45~10:15
A smart surface defects inspection robot system for multi-type components of automotive production
WeP1-2
08:45~10:15
Patch variational autoencoder-based industrial defect detection
WeP1-3
08:45~10:15
Fastener counting method with an improved blendmack
WeP1-4
08:45~10:15
MA-UNet++: A multi-attention guided U-Net++ for COVID-19 CT segmentation
WeP1-5
08:45~10:15
Compact and efficient feature representation for defect in hot rolled strip steel: A position paper
WeP1-6
08:45~10:15
Machine learning-based GPS multipath detection method using dual antennas
WeP1-7
08:45~10:15
Multiple fingerprinting localization by an artificial neural network
WeP1-8
08:45~10:15
Machine learning model for determining pet health condition
WeP1-9
08:45~10:15
Active disturbance rejection current control strategy of flyback inverter based on reference current feedforward
WeP1-10
08:45~10:15
Distributed point-to-point iterative learning control for nonlinear multi-agent systems
WeP1-11
08:45~10:15
Priority-based strategy for multi-objective steady-state optimization in double-layer model predictive control
WeP1-12
08:45~10:15
An input-mapping based distributed MPC approach for linear systems with unknown input coupling
WeP1-13
08:45~10:15
Fault diagnosis of multiple-railway high speed train bogies based on federated learning
WeP1-14
08:45~10:15
High-accuracy and adaptive fault diagnosis of high-speed train bogie using dense-squeeze network
WeP1-15
08:45~10:15
Predefined-time fault-tolerant control for nonlinear systems with unknown disturbances
WeP1-16
08:45~10:15
Automated feature engineering for fraud prediction in online credit loan services
