1.

Record Nr.

UNINA9910139210303321

Autore

Bardgett Richard D

Titolo

Aboveground-belowground linkages [[electronic resource] ] : biotic interactions, ecosystem processes, and global change / / Richard D. Bardgett, David A. Wardle

Pubbl/distr/stampa

Oxford, : Oxford University Press, c2010

ISBN

1-282-73078-9

9786612730788

0-19-159135-1

Descrizione fisica

1 online resource (x, 301 p. ) : ill., maps

Collana

Oxford series in ecology and evolution

Altri autori (Persone)

WardleDavid A. <1963->

Disciplina

577.82

Soggetti

Biotic communities

Species diversity

Global environmental change

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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

Sommario/riassunto

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.



2.

Record Nr.

UNINA9910595066903321

Autore

Luo Suhuai

Titolo

Computational Methods for Medical and Cyber Security

Pubbl/distr/stampa

Basel, : MDPI Books, 2022

Descrizione fisica

1 electronic resource (228 p.)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

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.



3.

Record Nr.

UNICAMPANIAVAN00019387

Titolo

Atlante delle passioni / a cura di Sergio Moravia

Pubbl/distr/stampa

Roma ; Bari, : Laterza, 1993

ISBN

88-420-4256-0

Descrizione fisica

159 p. ; 18 cm

Disciplina

152.4

Soggetti

Passioni

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia