Sökning: "‘Composite model’"

Visar resultat 1 - 5 av 209 uppsatser innehållade orden ‘Composite model’.

1. 1. Nya metoder för fernissaborttagning – En komparativ studie

   Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvård

   Författare :Alica Larsson; [2023-11-08]
   Nyckelord :Oil painting; Varnish removal; Evolon® CR; Tissue-gel composite;

   Sammanfattning : In recent years, new varnish removal methods have emerged in conservation, with two notable approaches: the tissue-gel composite method, involving gel-coated tissue material pressed onto varnished surfaces for simultaneous dissolution and binding, and the use of Evolon® CR textile saturated with solvent. Evolon® CR offers an alternative to gels and tissue-gel composites, aiming to eliminate residue from gel thickening agents and the need for mechanical cleaning, while enabling the use of non-polar solvents in a bound form. LÄS MER

3. 2. BODY NORMATIVITY AND THE HYPER(IN)VISIBILITY OF ABJECT BODIES Living with Oppression in the Body Liberation Movement

   Master-uppsats, Göteborgs universitet/Institutionen för kulturvetenskaper

   Författare :Kristin Binder; [2023-04-06]
   Nyckelord :Hyper in visibility; body normativity; oppression; intersectionality; transgender; disability; fatness; body liberation movement; resistance;

   Sammanfattning : In feminist studies that attempt to theorize embodiment, fat bodies have largely been ignored and excluded from research even though scientific knowledge on weight-based stigma and discrimination shows the importance of studying fatphobia as a system of oppression. Hence, this thesis provides an analysis on the lived experience of fat bodies in relation to body normativity and visibility politics. LÄS MER

4. 3. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER

5. 4. Analyzing Raw Material Characteristics for Composite and Bio-composite preparation and Assessing Environmental Impacts through LCA

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Lakshay Vashist; [2023]
   Nyckelord :Plastic; Polymers; Composites; Bio-composites; Synthetic Fibers; Natural Fibers; Mechanical Properties; Life Cycle Assessment LCA ; Plast; polymerer; kompositer; biokompositer; syntetiska fibrer; naturliga fibrer; mekaniska egenskaper; livscykelanalys LCA ;

   Sammanfattning : With the population expected to grow dramatically in the future. The existing state of the ecosystem appears to be worse in the future. One of the key culprits that has been wreaking havoc on the ecosystem is the use of plastic that is used to produce composites. LÄS MER

7. 5. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Giorgio Sacchi; [2023]
   Nyckelord :Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

   Sammanfattning : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. LÄS MER