Essays about: "thesis performance measure"
Showing result 1 - 5 of 707 essays containing the words thesis performance measure.
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1. Study case: The water-cooling effect on floating photovoltaic plants performance
University essay from KTH/EnergiteknikAbstract : Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. READ MORE
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2. AI-based image generation: The impact of fine-tuning on fake image detection
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE
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3. Data streaming provenance in advanced metering infrastructures
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. READ MORE
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4. Circular economy of spare parts and data-driven analytics - “Unlocking Sustainable Value: Analyzing Buyback Policy Circularity Performance in Volvo Group’s Reverse Supply Chain - A Renault Trucks Case Study”
University essay from Göteborgs universitet/Graduate SchoolAbstract : To address the current environmental challenges, companies are steadily shifting from a linear to a circular model in their daily operations. This process implies supplementing the traditional forward logistics with a reverse flow, enabling the reuse, remanufacturing, and recycling of existing products. READ MORE
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5. 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