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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 2.

A

Araldi, Alessandro and Venerandi, Alessandro and Fusco, Giovanni; Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Garau, Chiara and Blecic, Ivan and Taniar, David and Apduhan, Bernady O. and Rocha, Ana Maria A.C. and Tarantino, Eufemia and Torre, Carmelo Maria and Karaca, Yeliz, eds. (2020) Count regression and machine learning approach for zero-inflated over-dispersed count data. Application to micro-retail distribution and urban form. In: Computational Science and Its Applications – ICCSA 2020. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, ITA, pp. 550-565. ISBN 9783030588106

V

Venerandi, Alessandro and Fusco, Giovanni; Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Garau, Chiara and Blecic, Ivan and Taniar, David and Apduhan, Bernady O. and Rocha, Ana Maria A.C. and Tarantino, Eufemia and Torre, Carmelo Maria and Karaca, Yeliz, eds. (2020) Describing the residential valorisation of urban space at the street level. The French Riviera as example. In: Computational Science and Its Applications – ICCSA 2020. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, ITA, pp. 505-520. ISBN 9783030588106

This list was generated on Sat Mar 2 00:15:28 2024 GMT.