Search for dissertations about: "network modeling"
Showing result 16 - 20 of 390 swedish dissertations containing the words network modeling.
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16. Functional diversity of zooplankton in marine food webs : Integrating DNA metabarcoding and network modeling
Abstract : The oceans are important regulators of the Earth’s climate system by sequestering carbon from the atmosphere taken up by primary producers. Zooplankton, including protozoans and metazoans of different phyla and size classes, occupies several trophic niches and regulates energy flow between primary producers and fish. READ MORE
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17. Stochastic Modeling and Simulation of the TCP protocol
Abstract : The success of the current Internet relies to a large extent on a cooperation between the users and the network. The network signals its current state to the users by marking or dropping packets. The users then strive to maximize the sending rate without causing network congestion. READ MORE
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18. Resampling in network modeling of high-dimensional genomic data
Abstract : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. READ MORE
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19. On Modeling and Control of Network Queue Dynamics
Abstract : Internet flow control algorithms used today are separately designed and tuned for outdated setups and traffic mixes. Differnet algorithms exist in both end nodes an core routers of a network. This work presents improved techniques for network flow control. READ MORE
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20. Modeling Biochemical Network Involved in Striatal Dopamine Signaling
Abstract : In this thesis, I studied the molecular integration of reward-learning related neuromodulatory inputs by striatal medium-sized projection neurons (MSNs) using mass-action kinetic modeling.It is known that, in reward learning, an unexpected reward results in transient elevation in dopamine (peak) whereas omission of an expected reward leads to transient dopamine decrease (dip). READ MORE