Essays about: "depth of interaction"
Showing result 1 - 5 of 296 essays containing the words depth of interaction.
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1. Swipe to buy? : Examining the influence of Instagram and TikTok onmillennials fast fashion purchases
University essay from Stockholms universitet/Företagsekonomiska institutionenAbstract : This thesis explores the influence of User-Generated Content (UGC) on the purchasingdecisions of millennials in the fast fashion industry, particularly through the platformsInstagram and TikTok. The research delves into the transformation from offline to onlinemarketing within the fast fashion sector, examining both fast-fashion and ultra-fast fashion tounderstand UGC's impact on consumer behavior, including environmental and ethicalconcerns. READ MORE
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2. Exploring co-teaching through teachers' perspective in primary education in Greece
University essay from Göteborgs universitet/Institutionen för pedagogik och specialpedagogikAbstract : Aim: This study aims to examine the socially constructed nature of co-teaching through the perceptions of a pair of teachers who worked together in an inclusive classroom. This study focuses on the elementary level of education in Greece. Theory: Social constructivism builds the theoretical framework for this research. READ MORE
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3. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE
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4. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE
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5. Ready, set, regenerate! : A design study about affecting driver behaviours through gamification elements.
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The automotive industry plays a significant role in global CO2 emissions. A transition towards electric vehicles is part of the solution to lower CO2 emissions. READ MORE