Determination of traffic intensity from camera images using image processing and pattern recognition techniques

Determination of polychlorinated biphenyl levels in the serum of residents and in the homogenates of seafood from the New Bedford, Massachusetts, area: A comparison of exposure sources through pattern recognition techniques

The Science of The Total Environment ◽

10.1016/0048-9697(94)90436-7 ◽

1994 ◽

Vol 144 (1-3) ◽

pp. 153-177 ◽

Cited By ~ 20

Author(s):

Virlyn W. Burse ◽

Donald F. Groce ◽

Samuel P. Caudill ◽

Margaret P. Korver ◽

Donald L. Phillips ◽

...

Keyword(s):

Pattern Recognition ◽

Polychlorinated Biphenyl ◽

Pattern Recognition Techniques

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Determination of multiple elements in samples of the medicinal plant Marsdenia tenacissima and estimation of geographic origin via pattern recognition techniques

Journal of Natural Medicines ◽

10.1007/s11418-014-0860-x ◽

2014 ◽

Vol 69 (1) ◽

pp. 55-62 ◽

Cited By ~ 2

Author(s):

Chao Li ◽

Qiao-sheng Guo ◽

Sheng-chao Yang ◽

Kai-yan Zheng ◽

Wang-ping Li ◽

...

Keyword(s):

Pattern Recognition ◽

Medicinal Plant ◽

Geographic Origin ◽

Pattern Recognition Techniques ◽

Marsdenia Tenacissima

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Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques

Artificial Intelligence ◽

10.4018/978-1-5225-1759-7.ch024 ◽

2017 ◽

pp. 558-579

Author(s):

Swaptik Chowdhury ◽

Pratik Goyal ◽

R. Hariharan ◽

Pijush Samui

Keyword(s):

Pattern Recognition ◽

Rock Slope ◽

Pattern Recognition Techniques ◽

Stability Of Rock Slope

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Semiquantitative Determination of Chlorine Dosages for Water Treatment Using Pattern-Recognition Techniques

American Water Works Association ◽

10.1002/j.1551-8833.1973.tb01914.x ◽

1973 ◽

Vol 65 (10) ◽

pp. 623-626 ◽

Cited By ~ 4

Author(s):

Kang-Sheng Kuo ◽

Pefer C. Jurs

Keyword(s):

Pattern Recognition ◽

Water Treatment ◽

Pattern Recognition Techniques ◽

Semiquantitative Determination

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AN AUTO-PICKING STACKING VELOCITY ALGORITHM BASED ON AN AI AND PR APPROACH

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001489000097 ◽

1989 ◽

Vol 03 (01) ◽

pp. 103-111

Author(s):

L. WU ◽

Z. LUO ◽

J. ZHOU ◽

H. WANG

Keyword(s):

Artificial Intelligence ◽

Pattern Recognition ◽

Data Processing ◽

Seismic Data ◽

Seismic Data Processing ◽

Pattern Recognition Techniques ◽

Automatic Algorithm

Stacking velocity is a very important parameter in seismic data processing. Until now the determination of stacking velocity has been done manually. This article proposes an automatic algorithm for picking stacking velocity. The algorithm uses artificial intelligence and pattern recognition techniques.

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Statistical pattern recognition techniques: A sample problem of ultrasonic determination of interfacial weakness in adhesive joints

Journal of Nondestructive Evaluation ◽

10.1007/bf00566585 ◽

1989 ◽

Vol 8 (1) ◽

pp. 27-35 ◽

Cited By ~ 8

Author(s):

P. Dickstein ◽

Y. Segal ◽

E. Segal ◽

A. N. Sinclair

Keyword(s):

Pattern Recognition ◽

Adhesive Joints ◽

Statistical Pattern Recognition ◽

Sample Problem ◽

Pattern Recognition Techniques ◽

Statistical Pattern ◽

Ultrasonic Determination

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Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

Nutrients ◽

10.3390/nu7085274 ◽

2015 ◽

Vol 7 (8) ◽

pp. 6128-6138 ◽

Cited By ~ 19

Author(s):

Yasmine Probst ◽

Duc Nguyen ◽

Minh Tran ◽

Wanqing Li

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Mobile Phone ◽

Dietary Assessment ◽

Algorithm Design ◽

Pattern Recognition Techniques

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Speechreading: an overview of image processing, feature extraction, sensory integration and pattern recognition techniques

Proceedings of the Second International Conference on Automatic Face and Gesture Recognition AFGR-96 ◽

10.1109/afgr.1996.557235 ◽

2002 ◽

Cited By ~ 15

Author(s):

D.G. Stork ◽

M.E. Hennecke

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Feature Extraction ◽

Sensory Integration ◽

Pattern Recognition Techniques

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Inspection of tire tread defects using image processing and pattern recognition techniques

10.1117/12.164968 ◽

1993 ◽

Cited By ~ 5

Author(s):

Penny Chen ◽

Gary D. Shubinsky ◽

Kwan-Hwa Jan ◽

Chien-An Chen ◽

Oliver Sidla ◽

...

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Pattern Recognition Techniques

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Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-8654-0.ch009 ◽

2016 ◽

pp. 167-184

Author(s):

Swaptik Chowdhury ◽

Pratik Goyal ◽

R. Hariharan ◽

Pijush Samui

Keyword(s):

Pattern Recognition ◽

Rock Slope ◽

Slope Angle ◽

Classification Problem ◽

Unit Weight ◽

Pattern Recognition Techniques ◽

Robust Model ◽

Learning Machine ◽

Stability Of Rock Slope

This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope. The proposed MPM and ELM models use unit weight (?), cohesions (cA) and (cB), angles of internal friction (?A) and ?B, angle of the line of intersection of the two joint-sets (?p), slope angle (?f), and height (H) as input parameters. For this chapter the determination of stability of rock slope has been adopted as classification problem. The developed MPM and ELM have been compared with each other. The results of this article shows that the developed MPM is robust model for prediction of stability status of rock slope.

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