The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement

2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology ◽

10.1117/12.2547342 ◽

2020 ◽

Author(s):

Huijie Zhao ◽

Bolun Cui ◽

Guorui Jia ◽

Fuping Gan

Keyword(s):

Prediction Accuracy ◽

Influence Analysis ◽

Reflectance Anisotropy ◽

Cu Stress

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Misperception of randomness decreases prediction accuracy

PsycEXTRA Dataset ◽

10.1037/e615882011-210 ◽

2009 ◽

Author(s):

Benjamin Scheibehenne ◽

Andreas Wilke ◽

Peter M. Todd

Keyword(s):

Prediction Accuracy

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Supplemental Material for The Psychology of Intelligence Analysis: Drivers of Prediction Accuracy in World Politics

Journal of Experimental Psychology Applied ◽

10.1037/xap0000040.supp ◽

2015 ◽

Keyword(s):

Prediction Accuracy ◽

World Politics ◽

Intelligence Analysis

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Glycemia Prediction Accuracy of Simple Linear Models with Online Parameter Identification

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v9i5.10171 ◽

2016 ◽

Vol 9 (5) ◽

pp. 367 ◽

Cited By ~ 1

Author(s):

Matúš Rebro ◽

Marián Tárník ◽

Ján Murgaš

Keyword(s):

Parameter Identification ◽

Prediction Accuracy ◽

Linear Models

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Influence Analysis of Photovoltaic and Energy Storage Systems in a Distributions System in the Context of Permanent Regime Voltage using the Opendss

Renewable Energy and Power Quality Journal ◽

10.24084/repqj18.306 ◽

2020 ◽

Vol 18 ◽

pp. 298-303

Author(s):

P. Parreira ◽

◽

A. Rosentino ◽

D.B. Rodrigues ◽

M.R. Castillo ◽

...

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Energy Storage Systems ◽

Influence Analysis

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Data quality analysis of the station of geological and technological researches in recognizing losses and kicks to improve the prediction accuracy of neural network algorithms

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-8-63-67 ◽

2020 ◽

pp. 63-67 ◽

Cited By ~ 1

Author(s):

A.I. Arkhipov ◽

◽

A.N. Dmitrievsky ◽

N.A. Eremin ◽

A.D. Chernikov ◽

...

Keyword(s):

Neural Network ◽

Data Quality ◽

Prediction Accuracy ◽

Quality Analysis ◽

Network Algorithms ◽

Data Quality Analysis

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Generic Metrics for the Estimation of the Prediction Accuracy of Aircraft to Aircraft Conflicts by a Strategic Conflict Probe Tool

Air Traffic Control Quarterly ◽

10.2514/atcq.7.3.147 ◽

1999 ◽

Vol 7 (3) ◽

pp. 147-165 ◽

Cited By ~ 10

Author(s):

Mike M. Paglione ◽

Hollis F. Ryan ◽

Mary Lee Cale

Keyword(s):

Prediction Accuracy ◽

Strategic Conflict

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TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

High Grade ◽

Learning Methods ◽

Machine Learning Methods

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The microcomputer scientific software series 4: testing prediction accuracy.

10.2737/nc-gtr-107 ◽

1986 ◽

Author(s):

H. Michael Rauscher

Keyword(s):

Prediction Accuracy ◽

Scientific Software

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Influence Analysis of the Corrosion Factors Effect on the Corrosion Rate of Steel Wires of Main Cable of Suspension Bridge

IABSE Symposium Report ◽

10.2749/222137816819258537 ◽

2016 ◽

Vol 106 (11) ◽

pp. 300-308 ◽

Cited By ~ 1

Author(s):

Xiaoyu CHEN ◽

Maolin TANG ◽

Ruili SHEN

Keyword(s):

Corrosion Rate ◽

Suspension Bridge ◽

Influence Analysis ◽

Main Cable ◽

Steel Wires

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The Influence Analysis of Geodetic Accuracy on Artillery Fire

Korean Journal of Military Art and Science ◽

10.31066/kjmas.2011.67.2.013 ◽

2011 ◽

Vol 67 (2) ◽

pp. 319-344

Author(s):

신규용 ◽

Oh,Myoungho ◽

김두형 ◽

이영수 ◽

신내호

Keyword(s):

Influence Analysis

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