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1. |
Record Nr. |
UNISOBE600200028540 |
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Autore |
Gann, Ernest K. |
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Titolo |
Island in the Sky / by Ernest K. Gann |
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Pubbl/distr/stampa |
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New York, : Editions for the Armed Services Inc., s.d. |
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Descrizione fisica |
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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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Published by arrangement with the Viking Press, Inc., New York |
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2. |
Record Nr. |
UNISA996390760903316 |
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Autore |
Le Fèvre Nicaise <1610-1669.> |
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Titolo |
A discourse upon Sr Walter Rawleigh's great cordial [[electronic resource] /] / by N. le Febure ... ; rendred into English by Peter Belon . |
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Pubbl/distr/stampa |
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London, : Printed by J.F. for Octavian Pulleyn, Junior ..., 1664 |
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Descrizione fisica |
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Altri autori (Persone) |
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RaleighWalter, Sir, <1552?-1618.> |
BelonP (Peter) |
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Soggetti |
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Materia medica |
Medicine - Formulae, receipts, prescriptions |
Wounds and injuries - Treatment |
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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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Translation of: Discours sur le grand cordial de Sr Walter Rawleigh, which was not published in French until 1665. |
Errata: p. [13]. |
Reproduction of original in British Library. |
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Sommario/riassunto |
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3. |
Record Nr. |
UNICASRML0269214 |
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Autore |
Descartes, René |
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Titolo |
9.2.: Principes : traduction française |
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Pubbl/distr/stampa |
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Descrizione fisica |
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XX, 362 p., 20 c. di tav. : ill. ; 25 cm |
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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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4. |
Record Nr. |
UNINA9910557390403321 |
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Autore |
Leva Sonia |
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Titolo |
Feature Papers of Forecasting |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (186 p.) |
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Soggetti |
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Research and information: general |
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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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Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, |
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from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented. |
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