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1. |
Record Nr. |
UNINA9910716883003321 |
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Autore |
Allison John M. |
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Titolo |
Tank tests of Model 36 flying-boat hull / / by John M. Allison |
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Pubbl/distr/stampa |
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Washington, [D.C.] : , : National Advisory Committee for Aeronautics, , 1938 |
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Descrizione fisica |
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1 online resource (9 pages, 16 unnumbered pages) : illustrations |
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Collana |
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Technical note / National Advisory Committee for Aeronautics ; ; No. 638 |
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Soggetti |
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Seaplanes - Hulls |
Seaplanes - Models - Testing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"March 1938." |
No Federal Depository Library Program (FDLP) item number. |
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Nota di bibliografia |
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Includes bibliographical references (page 8). |
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2. |
Record Nr. |
UNINA9910253992703321 |
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Autore |
Majumder Mrinmoy |
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Titolo |
Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques / / by Mrinmoy Majumder, Apu K. Saha |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (58 p.) |
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Collana |
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SpringerBriefs in Energy, , 2191-5539 |
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Disciplina |
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Soggetti |
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Renewable energy sources |
Computational intelligence |
Electric power production |
Environmental economics |
Climatology |
Renewable Energy |
Computational Intelligence |
Electrical Power Engineering |
Mechanical Power Engineering |
Environmental Economics |
Climate Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction -- Justification -- Solar Energy -- Solar Energy -- Importance -- Benefits of Solar energy -- MCDM -- Definitions -- Applications -- Artificial Neural Network -- Definition -- Development Procedure of Models -- Development of the Feasibility Model -- Application of MCDM -- Development of Feasibility Index -- Model Validation of the Model -- Sensitivity Analysis -- Case Studies -- Locations -- Why this location ? -- Results and Discussion -- MCDM Results -- ANN Results -- Conclusion. |
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Sommario/riassunto |
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This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available |
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