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Showing result 1 - 5 of 94 essays matching the above criteria.
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1. Does industry survey data improve GDP forecasting?
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. READ MORE
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2. Breaking the Cycle of Exclusion : Examining Effective Interventions for Second-Generation Immigrant Children in Sweden
University essay from Uppsala universitet/Teologiska institutionenAbstract : Second-generation immigrant children in Sweden, especially those of non-European heritage, find themselves entangled in a web of social exclusion. Against the backdrop of escalating disparities between social strata, and a conspicuous failure in the integration of immigrants, the study explores this matter in depth. READ MORE
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3. Circularity indicators in practice: Exploring companies’ application and linkages to sustainability
University essay from Lunds universitet/Internationella miljöinstitutetAbstract : The Circular Economy (CE) has gained global recognition as a way to enable sustainability improvements in production and consumption systems. Numerous circularity indicators (c-indicators) have been developed by academia and practitioners to be used at the company level as analytical tools to measure progress towards a more circular economy. READ MORE
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4. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE
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5. Towards a Geographic Information Systems and Data-Driven Integration Management.
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Integration management in Finland and Tampere is broad task including multiple actors and departments. To manage integration, is to coordinate the cross organizational cooperation of multiple service structures that support migrants with different kinds of services. READ MORE