Sökning: "low dimensional"
Visar resultat 1 - 5 av 344 uppsatser innehållade orden low dimensional.
1. Exploring the effects of pressure on the magnetic properties of quasi-low dimensional quantum magnets via thermodynamic measurements
Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : Four model solid state compounds were used to experimentally investigate the effects of pressure on the interactions in one- and two-dimensional Heisenberg magnetic models. BaCuSi2O6, BaCu2V2O8, SrCuO2 and CuGeO3 were successfully synthesized via solid-state reactions and characterized via x-ray diffraction. LÄS MER
2. Geometry of high dimensional Gaussian data
Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Collected data may simultaneously be of low sample size and high dimension. Such data exhibit some geometric regularities consisting of a single observation being a rotation on a sphere, and a pair of observations being orthogonal. This thesis investigates these geometric properties in some detail. LÄS MER
3. Förekomst av snöskytte i hyggesfria metoden schackrutehuggning i Västerbotten
Kandidat-uppsats, SLU/School for Forest ManagementSammanfattning : Skogen är och har länge varit en viktig resurs för länet Västerbotten och den står för cirka 14 procent av den produktiva skogsmarksarealen i Sverige. Skogen i Västerbotten har brukats sedan medeltiden från småskaligt hushållsbehov till storskaligt skogsbruk i modern tid. LÄS MER
4. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER
5. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER