Essays about: "Experimental Model"
Showing result 1 - 5 of 1553 essays containing the words Experimental Model.
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1. Investigation of Injury Predictors for Rat Neuro Trauma
University essay from KTH/Medicinteknik och hälsosystemAbstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE
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2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE
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3. Collaborative Learning in an Immersive Virtual Environment: The Effects of Context and Retrieval Practice
University essay from Lunds universitet/Institutionen för psykologiAbstract : The accessibility of Virtual Reality (VR) enables the investigation of desirable difficulties originating from memory research with increased ecological validity. The two desirable difficulties include contextual variation and retrieval practice. READ MORE
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4. 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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5. 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