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Titlebook: Application of Geographical Information Systems and Soft Computation Techniques in Water and Water B; Mrinmoy Majumder Book 2018 Springer

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樓主: 揭發(fā)
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發(fā)表于 2025-3-26 22:59:49 | 只看該作者
32#
發(fā)表于 2025-3-27 02:33:29 | 只看該作者
1614-810X te the uncertainty for optimal utilization of the available water resources. The advantage of SCM and GIS were used to maximize the utilization of water resources under cost and time constraints in face of climatic abnormalities and effect of rapid urbanization..978-981-13-4825-9978-981-10-6205-6Series ISSN 1614-810X Series E-ISSN 2198-316X
33#
發(fā)表于 2025-3-27 08:16:39 | 只看該作者
Application of Geographical Information Systems and Soft Computation Techniques in Water and Water B
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發(fā)表于 2025-3-27 11:47:03 | 只看該作者
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發(fā)表于 2025-3-27 15:54:56 | 只看該作者
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發(fā)表于 2025-3-27 20:03:35 | 只看該作者
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發(fā)表于 2025-3-27 22:14:43 | 只看該作者
Time in Eternity and Eternity in Timedata well, with R. values of 0.98462 and 0.9964 for the linear regression model and the ANN model respectively. According to the results, wave height was found to have maximum importance followed by wind speed, wave period, water depth and salinity. The total three different neural networks were dev
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發(fā)表于 2025-3-28 02:42:25 | 只看該作者
39#
發(fā)表于 2025-3-28 07:40:20 | 只看該作者
Analyzing Extreme Events Using Standardized Precipitation Index During the 20th Century for Surat Dis observed that the years 1942, 1945 and 1959 are identified as severe wet events for all the time scale. Year 1998 is identified as moderate wet event for all time scale. Years 1936 and 1987 are identified as severe dry events and year 1935 is identified as moderate dry event for all the time scale
40#
發(fā)表于 2025-3-28 11:45:36 | 只看該作者
Development of Financial Liability Index for Hydropower Plant with MCDM and Neuro-genetic Modelssame importance on liability analysis of Hydropower projects. Thus some factors are overrated and some other under rated which resulted in erroneous decision making. The present investigation proposed a new method of liability analysis where all the major factors were given separate importance as de
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