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1. |
Record Nr. |
UNINA9910139210303321 |
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Autore |
Bardgett Richard D |
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Titolo |
Aboveground-belowground linkages [[electronic resource] ] : biotic interactions, ecosystem processes, and global change / / Richard D. Bardgett, David A. Wardle |
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Pubbl/distr/stampa |
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Oxford, : Oxford University Press, c2010 |
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ISBN |
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1-282-73078-9 |
9786612730788 |
0-19-159135-1 |
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Descrizione fisica |
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1 online resource (x, 301 p. ) : ill., maps |
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Collana |
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Oxford series in ecology and evolution |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Biotic communities |
Species diversity |
Global environmental change |
Electronic books. |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface; 1. Introduction; 2. Biotic Interactions in Soil as Drivers of Ecosystem Properties; 3. Plant Community Influences on the Soil Community and Plant-Soil Feedbacks; 4. Ecosystem Level Significance of Aboveground Consumers; 5. Aboveground and Belowground Consequences of Species Losses and Gains; 6. Underlying Themes and Ways Forward; References; Index |
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Sommario/riassunto |
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This volume synthesises and evaluates recent advances concerning how species and their interactions influence terrestrial ecosystem processes, such as productivity, decomposition, nutrient cycling, and fluxes. |
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2. |
Record Nr. |
UNINA9910595066903321 |
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Autore |
Luo Suhuai |
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Titolo |
Computational Methods for Medical and Cyber Security |
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Pubbl/distr/stampa |
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Basel, : MDPI Books, 2022 |
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Descrizione fisica |
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1 electronic resource (228 p.) |
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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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Over the past decade, computational methods, including machine learning (ML) and deep learning (DL), have been exponentially growing in their development of solutions in various domains, especially medicine, cybersecurity, finance, and education. While these applications of machine learning algorithms have been proven beneficial in various fields, many shortcomings have also been highlighted, such as the lack of benchmark datasets, the inability to learn from small datasets, the cost of architecture, adversarial attacks, and imbalanced datasets. On the other hand, new and emerging algorithms, such as deep learning, one-shot learning, continuous learning, and generative adversarial networks, have successfully solved various tasks in these fields. Therefore, applying these new methods to life-critical missions is crucial, as is measuring these less-traditional algorithms' success when used in these fields. |
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3. |
Record Nr. |
UNICAMPANIAVAN00019387 |
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Titolo |
Atlante delle passioni / a cura di Sergio Moravia |
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Pubbl/distr/stampa |
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Roma ; Bari, : Laterza, 1993 |
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ISBN |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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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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