Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data

J. R. JENSEN, FANG QIU, MINHE JI

doi:10.1080/014311699211804

Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data

International Journal of Remote Sensing ◽

10.1080/014311699211804 ◽

1999 ◽

Vol 20 (14) ◽

pp. 2805-2822 ◽

Cited By ~ 85

Author(s):

J. R. JENSEN, FANG QIU, MINHE JI

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Coniferous Forest ◽

Predictive Modelling ◽

Sensor Data ◽

Forest Age ◽

Remote Sensor ◽

Artificial Neural ◽

Network Approaches

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Land cover classification in rugged areas using simulated moderateresolution remote sensor data and an artificial neural network

International Journal of Remote Sensing ◽

10.1080/014311698216440 ◽

1998 ◽

Vol 19 (1) ◽

pp. 85-96 ◽

Cited By ~ 12

Author(s):

S. R. Yool

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Land Cover ◽

Land Cover Classification ◽

Sensor Data ◽

Remote Sensor ◽

Artificial Neural

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Forest Land Cover Classification Using Statistical and Artificial Neural Network Approaches Applied to IRS LISS ‐ III Sensor

Geocarto International ◽

10.1080/10106040108542192 ◽

2001 ◽

Vol 16 (2) ◽

pp. 39-44 ◽

Cited By ~ 6

Author(s):

Ramanathan Sugumaran

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Land Cover ◽

Land Cover Classification ◽

Forest Land ◽

Liss Iii ◽

Artificial Neural ◽

Forest Land Cover ◽

Network Approaches

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Predictive Modelling for Energy Consumption in Machining Using Artificial Neural Network

Procedia CIRP ◽

10.1016/j.procir.2015.08.081 ◽

2015 ◽

Vol 37 ◽

pp. 205-210 ◽

Cited By ~ 23

Author(s):

Girish Kant ◽

Kuldip Singh Sangwan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Energy Consumption ◽

Predictive Modelling ◽

Artificial Neural

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Frequency Detection and Variation with Smart-Sensor Data Analysis Using Artificial Neural Network and Cloud Computing

Machine Learning for Predictive Analysis - Lecture Notes in Networks and Systems ◽

10.1007/978-981-15-7106-0_14 ◽

2020 ◽

pp. 143-152

Author(s):

Arabinda Rath ◽

Dillip K. Mishra ◽

S. Q. Baig ◽

Gayatri Devi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Cloud Computing ◽

Data Analysis ◽

Sensor Data ◽

Smart Sensor ◽

Frequency Detection ◽

Artificial Neural

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Applications of Artificial Neural Network Technique to Polypyrrole Gas Sensor Data for Environmental Analysis

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2015.4373 ◽

2015 ◽

Vol 12 (11) ◽

pp. 4392-4398

Author(s):

Hamida Darwish ◽

Ahmad Jafarian ◽

Dumitru Baleanu ◽

Mehmet Senel ◽

Salih Okur

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Gas Sensor ◽

Environmental Analysis ◽

Sensor Data ◽

Artificial Neural

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Experimental and Artificial Neural Network Approaches to Predict the Effect of PVA (Poly Vinyl Acetate) on the Rheological Properties of Water and Crude Oil in EOR Processes

10.2118/140680-ms ◽

2010 ◽

Cited By ~ 1

Author(s):

A. Rezaian ◽

A. Kordestany ◽

M. Haghighat Sefat

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Crude Oil ◽

Rheological Properties ◽

Vinyl Acetate ◽

Artificial Neural ◽

Eor Processes ◽

Network Approaches

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Complimentary artificial neural network approaches for prediction of events in the neonatal intensive care unit

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2008.4650239 ◽

2008 ◽

Cited By ~ 4

Author(s):

Daphne Townsend ◽

Monique Frize

Keyword(s):

Neural Network ◽

Intensive Care Unit ◽

Artificial Neural Network ◽

Intensive Care ◽

Neonatal Intensive Care Unit ◽

Neonatal Intensive Care ◽

Artificial Neural ◽

Network Approaches

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Modeling of effluent COD in UAF reactor treating cyanide containing wastewater using artificial neural network approaches

Advances in Engineering Software ◽

10.1016/j.advengsoft.2010.04.002 ◽

2010 ◽

Vol 41 (7-8) ◽

pp. 1005-1010 ◽

Cited By ~ 11

Author(s):

Turan Yilmaz ◽

Galip Seckin ◽

Ahmet Yuceer

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Artificial Neural ◽

Network Approaches

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COMPARISON OF PROCESS-BASED AND ARTIFICIAL NEURAL NETWORK APPROACHES FOR STREAMFLOW MODELING IN AN AGRICULTURAL WATERSHED

JAWRA Journal of the American Water Resources Association ◽

10.1111/j.1752-1688.2006.tb04475.x ◽

2006 ◽

Vol 42 (3) ◽

pp. 545-563 ◽

Cited By ~ 51

Author(s):

Puneet Srivastava ◽

James N. McNair ◽

Thomas E. Johnson

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Agricultural Watershed ◽

Artificial Neural ◽

Network Approaches ◽

Streamflow Modeling

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Rapid activity prediction of HIV-1 integrase inhibitors: harnessing docking energetic components for empirical scoring by chemometric and artificial neural network approaches

Journal of Computer-Aided Molecular Design ◽

10.1007/s10822-016-9917-0 ◽

2016 ◽

Vol 30 (6) ◽

pp. 471-488 ◽

Cited By ~ 2

Author(s):

Patcharapong Thangsunan ◽

Sila Kittiwachana ◽

Puttinan Meepowpan ◽

Nawee Kungwan ◽

Panchika Prangkio ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Integrase Inhibitors ◽

Activity Prediction ◽

Artificial Neural ◽

Network Approaches ◽

Hiv 1

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