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Record Nr. |
UNINA9910557579003321 |
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Autore |
Loganathan Rajprasad |
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Titolo |
Extracellular Matrix Dynamics in Biology, Bioengineering, and Pathology |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (205 p.) |
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Soggetti |
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Biology, life sciences |
Science: general issues |
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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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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact |
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2. |
Record Nr. |
UNINA9910984585403321 |
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Autore |
Redko Vladimir |
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Titolo |
Advances in Neural Computation, Machine Learning, and Cognitive Research VIII : Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia / / edited by Vladimir Redko, Dmitry Yudin, Witali Dunin-Barkowski, Boris Kryzhanovsky, Yury Tiumentsev |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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9783031804632 |
9783031804625 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (764 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1179 |
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Altri autori (Persone) |
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YudinDmitry |
Dunin-BarkowskiWitali |
KryzhanovskyBoris |
TiumentsevYury |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Neural networks (Computer science) |
Computational Intelligence |
Machine Learning |
Mathematical Models of Cognitive Processes and Neural Networks |
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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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This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia. |
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