1 citations · 1 across the 6 of their papers we have counts for
6 papers
Neptune: An AI model for Global Ocean Subseasonal Prediction
Davide Donno, Italo Epicoco, Massimo Cafaro +8
Subseasonal-to-seasonal (S2S) forecasting is societally critical, supporting decision-making in sectors ranging from water and agricultural management to disaster risk reduction, e…
Resolving satellite-in situ mismatches in Net Primary Production using high-frequency in situ bio-optical observations in the subpolar Northwest Atlantic
Kitty Kam, Emmanuel Devred, Stephanie Clay +5
Net primary productivity (NPP) plays a central role in biological carbon pump (BCP) and global carbon cycling, but NPP estimates in high-latitude regions remain highly uncertain de…
piCurve: an R package for modeling photosynthesis-irradiance curves
Mohammad M. Amirian, Andrew J. Irwin
Photosynthesis-irradiance (PI) curves are foundational for quantifying primary production, parameterizing ecosystem and biogeochemical models, and interpreting physiological acclim…
Parameterization of Photoinhibition For Phytoplankton
Mohammad M. Amirian, Zoe V. Finkel, Emmanuel Devred +1
Mathematical models of photosynthesis-irradiance relationships in phytoplankton are used to compute integrated water-column photosynthetic rates and predict primary production. Mod…
Extending the Monod Model of Microbial Growth with Memory
Mohammad M. Amirian, Andrew J. Irwin, Zoe V. Finkel
Monod's model describes the growth of microorganisms using a hyperbolic function of extracellular resource concentration. Under fluctuating or limited resource concentrations this…
Stability Analysis of Fractional Order Memristor Synapse-coupled Hopfield Neural Network with Ring Structure
Leila Eftekhari, Mohammad M. Amirian
A memristor is a nonlinear two-terminal electrical element that incorporates memory features and nanoscale properties, enabling us to design very high-density artificial neural net…