Sökning: "Juan From"

Visar resultat 21 - 25 av 136 uppsatser innehållade orden Juan From.

  1. 21. Language is the Key to All Learning : A Study in the Preschools' and Kindergartens' Work for Future Inclusion in Socioeconomic Vulnerable Areas

    M1-uppsats, Södertörns högskola/Lärarutbildningen

    Författare :Juan Soto; Magnus Fransson; [2021]
    Nyckelord :Child’s Language Development at Preschool and Kindergarten; Socioeconomic Vulnerability Areas; Inclusion; Exclusion; Cooperation with Guardians; Barns språkutveckling vid förskolan; socioekonomiskt utsatta områden; inkludering; uteslutning; samarbete med vårdnadshavare;

    Sammanfattning : This study is focusing on the importance of the development of children’s language skills in preschools and kindergartens for successful implementation of children’s capabilities in future life. This is particularly vital for children growing up in socioeconomic vulnerable areas. LÄS MER

  2. 22. Alternative Solution to Catastrophical Forgetting on FewShot Instance Segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Juan Álvarez Fernández Del Vallado; [2021]
    Nyckelord :Machine learning; big data; transfer learning; computer vision; instance segmentation; object detection and data transformations.; Maskininlärning; stora datamängder; datorseende; instanssegmentering; objektdetektering; detectron2; instanssegmentering med få bilder och datatransformationer.;

    Sammanfattning : Video instance segmentation is a rapidly-growing research area within the computer vision field. Models for segmentation require data already annotated, which can be a daunting task when starting from scratch. Although there are some publicly available datasets for image instance segmentation, they are limited to the application they target. LÄS MER

  3. 23. En jämförande studie om Chile och Peru : Orsaker kring den rådande demokratiseringsskillnaden

    Kandidat-uppsats, Umeå universitet/Statsvetenskapliga institutionen

    Författare :Ivan Alvear Bello; [2021]
    Nyckelord :Juan Linz; Alfred Stepan; Demokratisering; Democratization; Democracy; Demokrati; Chile; Peru; Arenas;

    Sammanfattning : This study aims to demonstrate the reasons why there is a prevailing difference in democratization between the south American countries Chile and Peru. By applying democratization researchers, Juan Linz, and Alfred Stepans framework: The Five Arenas of a Consolidated Democracy, and a causal mechanism. LÄS MER

  4. 24. SUSTAINABLE LUBRICATION FOR FUTURE TRANSMISSIONS : Micropitting performance of Glycerol-based lubricants

    Master-uppsats, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Författare :Zapata Tamayo Juan Guillermo; [2021]
    Nyckelord :micropitting; mild sliding wear; surface coating; diamond-like carbon DLC; glycerol-based lubrication; green lubricant; rolling contact fatigue; rolling-sliding;

    Sammanfattning : Achieving sustainable lubrication by using environmentally friendly formulated lubricants has became an essential component of the transition process from fossil-powered vehicles to electrified transportation. Mixtures, or aqueous solutions of molecules such as polyhydroxy alcohols, and glycols usually known as green lubricants make it possible to achieve low friction coefficients under different lubrication conditions, which constitutes a potential alternative to improve the tribological performance of moving parts in automotive systems, at the same time that the environmental requirements are satisfied. LÄS MER

  5. 25. A Machine Learning Approach to the analysis of mortality in patients with cardiovascular diseases

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Juan Miguel Aldamiz Orcajo; [2021]
    Nyckelord :machine learning; supervised learning; graphical models; mortality analysis; cardiovascular diseases.; dödlighetsanalys; hjärt-kärlsjukdomar; maskininlärning; funktionens betydelse; grafiska modeller.;

    Sammanfattning : Cardiovascular diseases (CVDs) are the main cause of mortality worldwide, counting for a third of world demises. Consequently, early detection and underlying factors of these pathologies can play a critical role in successful treatments. Many researchers have applied machine learning (ML) for mortality risk estimation in CVDs. LÄS MER