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1. |
Record Nr. |
UNINA9910705287603321 |
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Autore |
Malkan Matthew Arnold |
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Titolo |
The ultraviolet excess of quasars . III The highly polarized quasars PKS 0736+017 and PKS 1510-089 / / Matthew A. Malkan, Richard L. Moore |
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Pubbl/distr/stampa |
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[Tucson, AZ] : , : [Arizona University], Steward Observatory |
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[Washington, D.C.] : , : [National Aeronautics and Space Administration], , [1985] |
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Descrizione fisica |
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1 online resource (22 pages, 10 unnumbered pages) : illustrations |
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Collana |
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Soggetti |
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Blazars |
Infrared spectra |
Line spectra |
Polarized radiation |
Spectrophotometry |
Stellar spectra |
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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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Title from title screen (viewed on Mar. 21, 2014). |
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Nota di bibliografia |
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Includes bibliographical references (pages 21-22). |
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2. |
Record Nr. |
UNINA9910404078103321 |
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Autore |
Lytras Miltiadis |
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Titolo |
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (258 p.) |
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Soggetti |
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History of engineering and technology |
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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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Sommario/riassunto |
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists-namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities. |
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