Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Shiraj Khan"'
Publikováno v:
Wind; Volume 2; Issue 1; Pages: 87-112
Wind-induced loss modeling plays a key role in insurance risk management. Hence, a flexible vulnerability framework is to be developed for residential and commercial buildings. This model predicts the losses induced by hurricane wind pressure, wind-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fedc918a9b9ed63bcb87be41c70aa14
Publikováno v:
Advances in Water Resources. 30:2401-2423
A quantification of the spatio-temporal dependence among precipitation extremes is important for investigating the properties of intense storms as well as flood or flash-flood related hazards. Extreme value theory has been widely applied to the hydro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::446c9d25936d17e192b3027cda4e4e39
https://doi.org/10.1016/j.advwatres.2007.05.006
https://doi.org/10.1016/j.advwatres.2007.05.006
Autor:
Chongle Pan, Nagiza F. Samatova, Marcia L. Branstetter, Robert L. Hettich, Xiaosong Ma, Jiangtian Li, Shiraj Khan, Arie Shoshani, Auroop R. Ganguly, Guruprasad Kora, Srikanth B. Yoginath
Publikováno v:
Journal of Physics: Conference Series. 46:505-509
Ultrascale computing and high-throughput experimental technologies have enabled the production of scientific data about complex natural phenomena. With this opportunity, comes a new problem – the massive quantities of data so produced. Answers to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75ba7b880b3465c2d2db7bd8982f06f
https://doi.org/10.1088/1742-6596/46/1/069
https://doi.org/10.1088/1742-6596/46/1/069
Publikováno v:
Encyclopedia of Knowledge Management
Business forecasts and predictive models are rarely perfect. A paraphrase of the Nobel winning physicist Neils Bohr is apt in this context: Prediction is difficult, especially if it is of the future. However, executives and managers in enterprises ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b41f054ae08c6c7ae0a7486494fbfe52
https://doi.org/10.4018/978-1-59904-931-1.ch015
https://doi.org/10.4018/978-1-59904-931-1.ch015
Information by itself is no longer perceived as an asset. Billions of business transactions are recorded in enterprise-scale data warehouses every day. Acquisition, storage, and management of business information are commonplace and often automated.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38be819e4ae6e5812d1e8782ad6b26ca
https://doi.org/10.4018/978-1-59904-951-9.ch160
https://doi.org/10.4018/978-1-59904-951-9.ch160
Publikováno v:
Handbook on Decision Support Systems 1 ISBN: 9783540487128
The process of data mining converts information to knowledge by using tools from the disciplines of computational statistics, database technologies, machine learning, signal processing, nonlinear dynamics, process modeling, simulation, and allied dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37587ae894d9eed71938435a90675c8e
https://doi.org/10.1007/978-3-540-48713-5_27
https://doi.org/10.1007/978-3-540-48713-5_27
Publikováno v:
Water Resources Research. 43
[1] Spatial and temporal variability of precipitation extremes are investigated by utilizing daily observations available at 2.5° gridded fields in South America for the period 1940–2004. All 65 a of data from 1940–2004 are analyzed for spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8f855c4470feef53c78a020fe3f010
https://doi.org/10.1029/2006wr005384
https://doi.org/10.1029/2006wr005384
Publikováno v:
Learning from Data Streams ISBN: 9783540736783
The current advances in sensors and sensor infrastructures offer new opportunities for monitoring the operations and conditions of man-made and natural environments. The ability to generate insights or new knowledge from sensor data is critical for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1957160a789e0bea42d4f29e599fa34e
https://doi.org/10.1007/3-540-73679-4_13
https://doi.org/10.1007/3-540-73679-4_13
Autor:
Auroop R. Ganguly, Shiraj Khan, Vladimir Protopopescu, David J. Erickson, Sharba Bandyopadhyay, Sunil Saigal, George Ostrouchov
Publikováno v:
Physical Review E. 76
Commonly used dependence measures, such as linear correlation, cross-correlogram or Kendall's Tau, cannot capture the complete dependence structure in data unless the structure is restricted to linear, periodic or monotonic. Mutual information (MI) h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90af06329b6a16ae5e1d706b7c651dcd
https://doi.org/10.1103/physreve.76.026209
https://doi.org/10.1103/physreve.76.026209
Autor:
Shiraj Khan, David J. Erickson, Auroop R. Ganguly, Vladimir Protopopescu, George Ostrouchov, Sunil Saigal, Sharba Bandyopadhyay
Publikováno v:
Geophysical Research Letters. 33
Cross-spectrum analysis based on linear correlations in the time domain suggested a coupling between large river flows and the El Nino-Southern Oscillation (ENSO) cycle. A nonlinear measure based on mutual information (MI) reveals extrabasinal connec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c58a5217aa6e3a7374a57e0281ccbacc
https://doi.org/10.1029/2006gl027941
https://doi.org/10.1029/2006gl027941