Essays about: "continuous sampling"
Showing result 6 - 10 of 88 essays containing the words continuous sampling.
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6. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning
University essay from Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE
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7. Multi-Agent Information Gathering Using Stackelberg Games
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-agent information gathering (MA-IG) enables autonomous robots to cooperatively collect information in an unfamiliar area. In some scenarios, the focus is on gathering the true mapping of a physical quantity such as temperature or magnetic field. READ MORE
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8. Effect of increased vertical stress on the state of grains in tailings
University essay from Luleå tekniska universitet/GeoteknologiAbstract : Tailings storage facilities (TSFs) serve as structures for storing tailings, i.e., waste materials generated by the mining industry. READ MORE
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9. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
University essay from Lunds universitet/Matematisk statistikAbstract : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. READ MORE
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10. Tailored Deep Degression for use on MRI-Scan Analysis
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : UK Biobank is a British clinical study containing over 40 000 Magnetic Resonance Images (MRI) with 100 000 MRI planned of participants aged 44-82 as well as a large amount of related medical data. Analyzing these images with a neural network to find relations between the information in an MRI image and various medical data could lead to interesting medical revelations. READ MORE