Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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

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Jump to: 2020 | 2019 | 2018 | 2017
Number of items: 6.

2020

Robertson, Joshua and Hejda, Matěj and Bueno, Julián and Hurtado, Antonio (2020) Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons. Scientific Reports, 10 (1). 6098. ISSN 2045-2322

Robertson, J. and Wade, E. and Kopp, Y. and Bueno, J. and Hurtado, A. (2020) Towards neuromorphic photonic networks of ultrafast spiking laser neurons. IEEE Journal of Selected Topics in Quantum Electronics, 26 (1). 7700715. ISSN 0792-1233

2019

Argyris, Apostolos and Bueno, Julián and Fischer, Ingo (2019) PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing. IEEE Access, 7. 37017 - 37025. 8669764. ISSN 2169-3536

2018

Bueno, J. and Maktoobi, S. and Froehly, L. and Fischer, I. and Jacquot, M. and Larger, L. and Brunner, D. (2018) Reinforcement learning in a large-scale photonic recurrent neural network. Optica, 5 (6). pp. 756-760. ISSN 1899-7015

Argyris, Apostolos and Bueno, Julián and Fischer, Ingo (2018) Photonic machine learning implementation for signal recovery in optical communications. Scientific Reports, 8 (1). 8487. ISSN 2045-2322

2017

Bueno, Julián and Brunner, Daniel and Soriano, Miguel C. and Fischer, Ingo (2017) Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback. Optics Express, 25 (3). pp. 2401-2412. ISSN 1094-4087

This list was generated on Thu Jul 9 18:55:32 2020 BST.