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The type of lscr1 norm regularization used in Lasso and related methods typically yields sparse parameter estimates where most of the estimates are equal to zero. We study a class of estimators obtained by applying a linear transformation on the parameter vector before evaluating the lscr1 norm. The resulting ldquotransformed Lassordquo yields estimates that are ldquosmoothrdquo in a way that depends...
In this paper, a decision support system (DSS) for multi-biomass energy conversion applications is presented. The system in question aims at supporting an investor by thoroughly assessing an investment in locally existing multi-biomass exploitation for tri-generation applications (electricity, heating and cooling), in a given area. The approach followed combines use of holistic modelling of the system,...
The paper presents a software which simulates an existing automated warehouse of steel tubes, including all the movements of the tubes packs conveyors as well as the management of all the operations for their storage and recovery for delivery to customers. The reason to develop such simulator lies in the needing to test new stocking strategies, that could overcome the drawback of the ones which are...
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