Essays about: "experimental learning"
Showing result 1 - 5 of 343 essays containing the words experimental learning.
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1. 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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2. 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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3. 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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4. Quantum Optical Description of High-order Harmonic Generation
University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenAbstract : High-order Harmonic Generation (HHG) is a highly non-linear process in which an atom interacts with a strong laser field. The laser field lowers the atomic potential barrier allowing bound electrons to escape into the continuum through tunnel ionization, propagate, and, with some probability, recombine with the parent ion. READ MORE
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5. Machine learning for molecular property prediction and drug safety
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE