Essays about: "kvantisering"
Showing result 1 - 5 of 16 essays containing the word kvantisering.
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1. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE
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2. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. READ MORE
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3. Supervised Algorithm for Predictive Maintenance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. READ MORE
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4. FPGA Accelerated Digital Image Correlation For Clamping Force Measurement
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Digital image correlation is a contactless optical method used for displacement and strain measurement which has become increasingly popular in the field of experimental mechanics. A specialized use case for the algorithm is to measure the clamping force in bolted joints, a crucial metric when considering the longevity and reliability of the constructs. READ MORE
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5. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. READ MORE
