Computational Intelligence in Automotive Applications 2008

Danil V. Prokhorov (Ed.): Computational Intelligence in Automotive Applications. Studies in Computational Intelligence Vol. 132 Springer 2008, ISBN 978-3-540-79256-7 BibTeX

Yilu Zhang, Yuri Owechko, Jing Zhang:
Learning-Based Driver Workload Estimation. 1-17
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Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang, John Summers:
Understanding Driving Activity Using Ensemble Methods. 39-58
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Tarak Gandhi, Mohan M. Trivedi:
Computer Vision and Machine Learning for Enhancing Pedestrian Safety. 59-77
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Matthias Steinbrecher, Frank Rügheimer, Rudolf Kruse:
Application of Graphical Models in the Automotive Industry. 79-88
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Tomas Hrycej, Christian Manuel Strobel:
Extraction of Maximum Support Rules for the Root Cause Analysis. 89-99
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Danil V. Prokhorov:
Neural Networks in Automotive Applications. 101-123
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Gérard Bloch, Fabien Lauer, Guillaume Colin:
On Learning Machines for Engine Control. 125-144
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Ivan Arsie, Cesare Pianese, Marco Sorrentino:
Recurrent Neural Networks for AFR Estimation and Control in Spark Ignition Automotive Engines. 145-168
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Yi Lu Murphey:
Intelligent Vehicle Power Management: An Overview. 169-190
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Krishna R. Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram, Suvasri Mandal, William Donat, Setu Madhavi Namburu, Shunsuke Chigusa, Liu Qiao:
An Integrated Diagnostic Process for Automotive Systems. 191-218
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Mahmoud El-Banna, Dimitar Filev, Ratna Babu Chinnam:
Automotive Manufacturing: Intelligent Resistance Welding. 219-235
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James S. Albus, Roger Bostelman, Raj Madhavan, Harry Scott, Tony Barbera, Sandor Szabo, Tsai Hong, Tommy Chang, William P. Shackleford, Michael Shneier, Stephen Balakirsky, Craig Schlenoff, Hui-Min Huang, Frederick M. Proctor:
Intelligent Control of Mobility Systems. 237-274
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