Sökning: "Parameter table"
Visar resultat 1 - 5 av 40 uppsatser innehållade orden Parameter table.
1. Designing and evaluating distribution networks for luxury beds : A case study of Hästens Beds’ European distribution from the perspective of cost and delivery service
Master-uppsats, Linköpings universitet/Logistik- och kvalitetsutvecklingSammanfattning : Hästens Beds is a Swedish luxury bed manufacturer, located in Köping, Sweden. They have a strong global presence, with Europe being the most mature and proven market. LÄS MER
2. Micromechanical Characterization of Thin Paper Materials
Master-uppsats, Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska HögskolaSammanfattning : Hur ser framtidens hållbara förpackning ut och vad är den tillverkad av? För att besvara denna fråga blir mikromekanisk karakterisering av material en viktig parameter att utforska och förstå. I synnerhet är mikromekaniken hos tunna pappersmaterial intressant då materialet har användningspotential i flera förpackningsapplikationer. LÄS MER
3. Expansions of neutrino oscillation and decay probabilities in matter
Master-uppsats, KTH/FysikSammanfattning : We consider a simple model for invisible neutrino decay as a sub-leading effect in the standard three-flavor neutrino oscillation framework, and use the Cayley–Hamilton formalism to obtain a full set of neutrino oscillation probabilities in matter. These are given as analytical series expansions in the small parameters α ∼ O(λ^2) and s_13 ∼ O(λ), where λ ≡ 0. LÄS MER
4. Exploring the parameter space of Q-learning for faster convergence using Snake
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : In this paper we explore the field of reinforcement learning which has proven to be successful at solving problems of random nature. Such problems can be video games, for example the classical game of Snake. LÄS MER
5. Object Based Image Retrieval Using Feature Maps of a YOLOv5 Network
Master-uppsats, KTH/Matematisk statistikSammanfattning : As Machine Learning (ML) methods have gained traction in recent years, someproblems regarding the construction of such methods have arisen. One such problem isthe collection and labeling of data sets. Specifically when it comes to many applicationsof Computer Vision (CV), one needs a set of images, labeled as either being of someclass or not. LÄS MER