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M Giugliano

Showing results (1-10 of 27) with videos related to

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Neural Computation|April 19, 2000
Synthesis of generalized algorithms for the fast computation of synaptic conductances with Markov kinetic models in large network simulationsM Giugliano
The Science of the Total Environment|July 1, 1985
The development and application of empirical models for the high SO2 concentration in urban areasM Giugliano
Waste Management (New York, N.Y.)|March 21, 2007
Energy recovery from municipal waste: a case study for a middle-sized Italian districtM Giugliano, M Grosso, L Rigamonti
Waste Management (New York, N.Y.)|March 2, 2005
Alternative strategies for energy recovery from municipal solid waste Part A: Mass and energy balancesS Consonni, M Giugliano, M Grosso
Journal of Computational Neuroscience|December 22, 1999
Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuronM Giugliano, M Bove, M Grattarola
Waste Management (New York, N.Y.)|August 8, 2008
Life cycle assessment for optimising the level of separated collection in integrated MSW management systemsL Rigamonti, M Grosso, M Giugliano
IEEE Transactions on Bio-Medical Engineering|June 14, 2000
Insulin release at the molecular level: metabolic-electrophysiological modeling of the pancreatic beta-cellsM Giugliano, M Bove, M Grattarola
Neural Computation|July 29, 1999
Fast calculation of short-term depressing synaptic conductancesM Giugliano, M Bove, M Grattarola
Waste Management (New York, N.Y.)|March 2, 2005
Alternative strategies for energy recovery from municipal solid waste Part B: Emission and cost estimatesS Consonni, M Giugliano, M Grosso
Environment International|January 22, 2008
Primary and secondary components of PM2.5 in Milan (Italy)G Lonati, M Giugliano, S Ozgen
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Neural Computation|April 19, 2000
Synthesis of generalized algorithms for the fast computation of synaptic conductances with Markov kinetic models in large network simulationsM Giugliano
The Science of the Total Environment|July 1, 1985
The development and application of empirical models for the high SO2 concentration in urban areasM Giugliano
Waste Management (New York, N.Y.)|March 21, 2007
Energy recovery from municipal waste: a case study for a middle-sized Italian districtM Giugliano, M Grosso, L Rigamonti
Waste Management (New York, N.Y.)|March 2, 2005
Alternative strategies for energy recovery from municipal solid waste Part A: Mass and energy balancesS Consonni, M Giugliano, M Grosso
Journal of Computational Neuroscience|December 22, 1999
Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuronM Giugliano, M Bove, M Grattarola
Waste Management (New York, N.Y.)|August 8, 2008
Life cycle assessment for optimising the level of separated collection in integrated MSW management systemsL Rigamonti, M Grosso, M Giugliano
IEEE Transactions on Bio-Medical Engineering|June 14, 2000
Insulin release at the molecular level: metabolic-electrophysiological modeling of the pancreatic beta-cellsM Giugliano, M Bove, M Grattarola
Neural Computation|July 29, 1999
Fast calculation of short-term depressing synaptic conductancesM Giugliano, M Bove, M Grattarola
Waste Management (New York, N.Y.)|March 2, 2005
Alternative strategies for energy recovery from municipal solid waste Part B: Emission and cost estimatesS Consonni, M Giugliano, M Grosso
Environment International|January 22, 2008
Primary and secondary components of PM2.5 in Milan (Italy)G Lonati, M Giugliano, S Ozgen
Pageof 3