Sökning: "strength model"
Visar resultat 16 - 20 av 786 uppsatser innehållade orden strength model.
16. Intergenerational Educational Mobility among Immigrants and Natives in Germany
Master-uppsats, Lunds universitet/Ekonomisk-historiska institutionenSammanfattning : This study examines the intergenerational educational mobility among immigrants and natives in Germany. Three regression models are estimated to investigate potential differences in the transmission of human capital from parents to their children between immigrants and natives. LÄS MER
17. Magnetic field of the magnetic chemically peculiar star V1148 Ori
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : This project aims to obtain and interpret the measurements of the mean longitudinal magnetic field of the chemically peculiar star V1148 Ori. To achieve this aim 12 spectropolarimetric observations obtained by the CFHT using the spectropolarimeter ESPaDOnS were used. LÄS MER
18. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. LÄS MER
19. Ett intressentperspektiv på slow fashion-affärsmodellen : En multipel fallstudie om långsam konsumtion i modebranschen
Master-uppsats, Linköpings universitet/Industriell ekonomiSammanfattning : Som en reaktion mot fast fashion-rörelsen och de oansvariga konsumtionsmönster som den medför har slow fashion uppstått som ett mer hållbart alternativ i modebranschen. Slow fashion beskrivs ofta som mode av hög kvalitet med en tidlös design vars syfte är att sakta ner flödena och minska konsumtionen. LÄS MER
20. Self-learning for 3D segmentation of medical images from single and few-slice annotation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER