Essays about: "scientific models"
Showing result 1 - 5 of 255 essays containing the words scientific models.
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1. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. 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. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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4. Multi-Parameter Modelling of Surface Electromyography Data
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. 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