Essays about: "information architecture model"
Showing result 1 - 5 of 227 essays containing the words information architecture model.
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1. Mind The Gap Between Your Intelligence And Choice Architecture
University essay from Göteborgs universitet/Graduate SchoolAbstract : Digital footprints of online behaviour are now possible to gather through the use of cookies. As a result, consumer activities once considered private are now monitored and used by online businesses and marketers, providing them with information about who we are, what we think, and what we like. READ MORE
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2. 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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3. Air quality prediction in metropolitan areas using deep learning methods
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. READ MORE
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4. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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5. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE