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Using the Deterministic EOQ Formula in Stochastic Inventory Control
Investigation of site selectivity in the fragmentation of coreexcited 1,3-butadiene near the central and terminal carbon K edges
Design and Routing Problems in ATM Networks
Att forska om lärande i konst
Syftet med artikeln är att ur ett pedagogiskt teoretiskt perspektiv diskutera några möjliga ingångar till forskning om dagens lärande i konst. Uppfattningen om vad en konstnärs arbete innebär påverkar vår förståelse av vad lärande i konst innebär. Lika betydelsefull är den innebörd som ges lärande. I den första delen av artikeln presenteras och diskuteras därför tre sätt att se på en konstnärs arb
Estimating anthropogenic carbon release in north-western Europe during the Holocene–integrating pollen-based land use reconstructions with a dynamic vegetation model
Dynamic changes in right ventricular pressures during haemodialysis recorded with an implantable haemodynamic monitor
Universalblod - utvecklingsmöjlighet eller utopi?
Organic farming: Possibilities to increase organic cereals production in Skåne: A comparative study of Sweden and Denmark
A Note on Nonlinear Income Taxes and the Utility Possibility Set
Anmälan. Åsa Örnberg, Kommunal verksamhet genom privaträttsliga subjekt
Discourse, vision, and cognition
Finding the Right Partner Social and Geographic Aspects on Mate Selection in Southern Sweden 1829-1894
Maximum likelihood multipath estimation in comparison with conventional delay lock loops
The implementation of the maximum likelihood estimator for the time-delay estimation problem is practically intractable for navigation signals due to its complexity, especially when due to multipath reception several superimposed replica are taken into account. Recently it has been shown that signal compression techniques can overcome this problem, as the maximum likelihood estimator can be formul
Shift-map Image Registration
Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes -expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration. To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities