Sökning: "ENTROPY"
Visar resultat 6 - 10 av 232 uppsatser innehållade ordet ENTROPY.
6. The black hole information paradox and holography
Master-uppsats, Uppsala universitet/Teoretisk fysikSammanfattning : Hawking theorized in 1974 that black holes emit particles as a quantum effect. It follows from this fact that a black hole that emits particles while absorbing none ends up evaporating. The process of black hole evaporation studied from semiclassical gravity violates quantum mechanics leading to serious problems. LÄS MER
7. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS
Master-uppsats, KTH/Tillämpad fysikSammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER
8. Miljö och landskap : En undersökning av landskap och miljö i relation till placeringen avboplatser i Ystadområdet
Kandidat-uppsats, Uppsala universitet/ArkeologiSammanfattning : Denna studie undersöker relationen mellan landskap, miljö och placeringen av boplatser från neolitikum och bronsålder i Ystadområdet. Uppsatsen åstadkommer detta genom maximal entropi modellering av boplatsernas placering i relation till flera variabler i landskapet och miljön. LÄS MER
9. Development of a QRNG front-end for shot noise measurement : analysis of quantum shot noise originating from photodiodes
Master-uppsats, Linköpings universitet/InformationskodningSammanfattning : As one of the more mature quantum technologies, quantum random number generators (QRNGs) fill an important role in producing secure and private keys for use in cryptogra- phy in e.g. quantum key distribution (QKD) systems. Many available QRNGs are expen- sive and optical QRNGs often require complex optical setups. LÄS MER
10. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. LÄS MER