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Found 7 papers, 1 papers with code
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting
The semiconductor industry is one of the most technology-evolving and capital-intensive market sectors.
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
To understand how the proposed model works, the deep visualization approach is applied.
GraSSNet: Graph Soft Sensing Neural Networks
In the era of big data, data-driven based classification has become an essential method in smart manufacturing to guide production and optimize inspection.
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
Over the last few decades, modern industrial processes have investigated several cost-effective methodologies to improve the productivity and yield of semiconductor manufacturing.
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
We demonstrate the challenges and effectiveness of modeling industrial big data by a Soft Sensing Transformer model on these data sets.
IEEE BigData 2021 Cup: Soft Sensing at Scale
The scope of this challenge is to tackle the task of classifying soft sensing data with machine learning techniques.
Auto-encoder based Model for High-dimensional Imbalanced Industrial Data
However, the successful applications of deep learning in soft sensing are still not widely integrated in factory control systems, because most of the research on soft sensing do not have access to large scale industrial data which are varied, noisy and incomplete.
