-
1
-
-
84937714661
-
-
2013, [Online; Accessed 11-Jun]
-
WMO, "Global Climate Observing System," http://www.wmo.int/pages/ prog/gcos/index.php?name=EssentialClimateVariables, 2013, [Online; Accessed 11-Jun-2014].
-
(2014)
Global Climate Observing System
-
-
-
2
-
-
84924253858
-
-
2013, [Online; Accessed on 08-Aug-]
-
NASA, "Climate," http://www.nasa.gov/mission-pages/noaa-n/climate/ climate-weather.html, 2013, [Online; Accessed on 08-Aug-2013].
-
(2013)
Climate
-
-
-
3
-
-
84945173651
-
Regional scale spatio-temporal variability of soil moisture and its relationship with meteorological factors over the korean peninsula
-
E. Cho and M. Choi, "Regional scale spatio-temporal variability of soil moisture and its relationship with meteorological factors over the korean peninsula," Journal of Hydrology, 2014.
-
(2014)
Journal of Hydrology
-
-
Cho, E.1
Choi, M.2
-
4
-
-
84875126486
-
A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks
-
S. Venkadesh, G. Hoogenboom, W. Potter, and R. McClendon, "A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks," Applied Soft Computing, vol. 13, no. 5, pp. 2253-2260, 2013.
-
(2013)
Applied Soft Computing
, vol.13
, Issue.5
, pp. 2253-2260
-
-
Venkadesh, S.1
Hoogenboom, G.2
Potter, W.3
McClendon, R.4
-
5
-
-
84867350016
-
A rainfall prediction model using artificial neural network
-
K. Abhishek, A. Kumar, R. Ranjan, and S. Kumar, "A rainfall prediction model using artificial neural network," in Control and System Graduate Research Colloquium (ICSGRC), 2012 IEEE. IEEE, 2012, pp. 82-87.
-
(2012)
Control and System Graduate Research Colloquium (ICSGRC), 2012 IEEE. IEEE
, pp. 82-87
-
-
Abhishek, K.1
Kumar, A.2
Ranjan, R.3
Kumar, S.4
-
7
-
-
33745732111
-
Bayesian networks for probabilistic weather prediction
-
ECAI. Citeseer
-
A. S. Cofino, R. Cano, C. Sordo, and J. M. Gutierrez, "Bayesian networks for probabilistic weather prediction," in 15th Eureopean Conference on Artificial Intelligence, ECAI. Citeseer, 2002.
-
(2002)
15th Eureopean Conference on Artificial Intelligence
-
-
Cofino, A.S.1
Cano, R.2
Sordo, C.3
Gutierrez, J.M.4
-
8
-
-
77957924743
-
Predicting weather events using fuzzy rule based system
-
M. S. K. Awan and M. M. Awais, "Predicting weather events using fuzzy rule based system," Applied Soft Computing, vol. 11, no. 1, pp. 56-63, 2011.
-
(2011)
Applied Soft Computing
, vol.11
, Issue.1
, pp. 56-63
-
-
Awan, M.S.K.1
Awais, M.M.2
-
9
-
-
26944437287
-
Applications of bayesian networks in meteorology
-
Springer
-
R. Cano, C. Sordo, and J. M. Gutierrez, "Applications of bayesian networks in meteorology," in Advances in Bayesian networks. Springer, 2004, pp. 309-328.
-
(2004)
Advances in Bayesian Networks
, pp. 309-328
-
-
Cano, R.1
Sordo, C.2
Gutierrez, J.M.3
-
10
-
-
0003584577
-
-
Prentice hall Englewood Cliffs
-
S. J. Russell, P. Norvig, J. F. Canny, J. M. Malik, and D. D. Edwards, Artificial intelligence: a modern approach. Prentice hall Englewood Cliffs, 1995, vol. 2.
-
(1995)
Artificial Intelligence: A Modern Approach
, vol.2
-
-
Russell, S.J.1
Norvig, P.2
Canny, J.F.3
Malik, J.M.4
Edwards, D.D.5
-
12
-
-
84858342275
-
A fuzzy-bayesian model for supplier selection
-
L. Ferreira and D. Borenstein, "A fuzzy-bayesian model for supplier selection," Expert Systems with Applications, vol. 39, no. 9, pp. 7834-7844, 2012.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.9
, pp. 7834-7844
-
-
Ferreira, L.1
Borenstein, D.2
-
13
-
-
44049099314
-
Basic theory of fuzzy bayesian networks and its application in machinery fault diagnosis
-
IEEE
-
H. Tang and S. Liu, "Basic theory of fuzzy bayesian networks and its application in machinery fault diagnosis," in Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on, vol. 4. IEEE, 2007, pp. 132-137.
-
(2007)
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
, vol.4
, pp. 132-137
-
-
Tang, H.1
Liu, S.2
-
14
-
-
82255175688
-
Fuzzy-bayesian network for refrigeration compressor performance prediction and test time reduction
-
C. A. Penz, C. A. Flesch, S. M. Nassar, R. C. Flesch, and M. A. De Oliveira, "Fuzzy-bayesian network for refrigeration compressor performance prediction and test time reduction," Expert Systems with Applications, vol. 39, no. 4, pp. 4268-4273, 2012.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.4
, pp. 4268-4273
-
-
Penz, C.A.1
Flesch, C.A.2
Nassar, S.M.3
Flesch, R.C.4
De Oliveira, M.A.5
-
15
-
-
34047185270
-
Advantages and challenges of bayesian networks in environmental modelling
-
L. Uusitalo, "Advantages and challenges of bayesian networks in environmental modelling," Ecological modelling, vol. 203, no. 3, pp. 312-318, 2007.
-
(2007)
Ecological Modelling
, vol.203
, Issue.3
, pp. 312-318
-
-
Uusitalo, L.1
-
16
-
-
84924280287
-
-
[Online; May-2014]
-
Microsoft-Research, "FetchClimate," http://research.microsoft.com/ en-us/um/cambridge/projects/fetchclimate, 2013, [Online; May-2014].
-
(2013)
Microsoft-Research FetchClimate
-
-
-
17
-
-
84924261841
-
-
Relative-humidity [Online; Accessed on 09-Oct-2013]
-
Wikipedia, "Relative-humidity," http://en.wikipedia.org/wiki/ Relative-humidity, 2013, [Online; Accessed on 09-Oct-2013].
-
(2013)
-
-
-
18
-
-
80052149882
-
Validation and forecasting accuracy in models of climate change
-
R. Fildes and N. Kourentzes, "Validation and forecasting accuracy in models of climate change," International Journal of Forecasting, vol. 27, no. 4, pp. 968-995, 2011.
-
(2011)
International Journal of Forecasting
, vol.27
, Issue.4
, pp. 968-995
-
-
Fildes, R.1
Kourentzes, N.2
|