Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
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Published By ASME Press

9780791859599

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Front Matter

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.fm ◽

2010 ◽

pp. i-xiv

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Valid Predictions with Insufficient Training Data

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper81 ◽

2010 ◽

pp. 653-660

Keyword(s):

Training Data

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The Adviceptron: Giving Advice to the Perceptron

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper80 ◽

2010 ◽

pp. 645-652 ◽

Cited By ~ 1

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Tool Condition Monitoring in Metal Cutting Processes - a Systematic Approach Using ANN Based Multiple Sensor Fusion Strategy

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper70 ◽

2010 ◽

pp. 565-572

Keyword(s):

Sensor Fusion ◽

Condition Monitoring ◽

Metal Cutting ◽

Systematic Approach ◽

Tool Condition Monitoring ◽

Fusion Strategy ◽

Tool Condition ◽

Multiple Sensor ◽

Cutting Processes

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Recognition of Emotions from Human Speech

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper68 ◽

2010 ◽

pp. 549-556 ◽

Cited By ~ 1

Keyword(s):

Human Speech ◽

Recognition Of Emotions

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Modeling Noise in a Framework to Optimize the Detection of Anomalies in Hyperspectral Imaging

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper64 ◽

2010 ◽

pp. 517-524 ◽

Cited By ~ 2

Keyword(s):

Hyperspectral Imaging

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K-Models Clustering, a Generalization of K-Means Clustering

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper60 ◽

2010 ◽

pp. 485-492

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Utilizing Artificial Neural Network to Model Sound for Virtual Landmine Detection Training

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper58 ◽

2010 ◽

pp. 469-476

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Landmine Detection ◽

Artificial Neural

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Pearmeability Prediction Model for Concrete Mixes Used in Kansas PCC Pavements

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper54 ◽

2010 ◽

pp. 437-444

Keyword(s):

Prediction Model

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Macropore Spatial Variability of CT-Measured Solute Transport Parameters

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20 ◽

10.1115/1.859599.paper51 ◽

2010 ◽

pp. 413-420

Keyword(s):

Spatial Variability ◽

Solute Transport ◽

Transport Parameters

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Intelligent Engineering Systems through Artificial Neural Networks, Volume 20Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ASME Press

Front Matter

Valid Predictions with Insufficient Training Data

The Adviceptron: Giving Advice to the Perceptron

Tool Condition Monitoring in Metal Cutting Processes - a Systematic Approach Using ANN Based Multiple Sensor Fusion Strategy

Recognition of Emotions from Human Speech

Modeling Noise in a Framework to Optimize the Detection of Anomalies in Hyperspectral Imaging

K-Models Clustering, a Generalization of K-Means Clustering

Utilizing Artificial Neural Network to Model Sound for Virtual Landmine Detection Training

Pearmeability Prediction Model for Concrete Mixes Used in Kansas PCC Pavements

Macropore Spatial Variability of CT-Measured Solute Transport Parameters

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Latest Publications