Sökning: "deep acting"
Visar resultat 11 - 15 av 66 uppsatser innehållade orden deep acting.
11. Melt pool Geometry and Microstructure Characterization in Additively Manufactured WE43 Alloy
Master-uppsats, Uppsala universitet/Institutionen för materialvetenskapSammanfattning : Mg-RE based alloys have exhibited promising properties in application for biodegradable implants. This work provides a systematic study on the characterization of melt pool geometry and profile for one such alloy, WE43. LÄS MER
12. Professionella känslor : Bibliotekariers strategier för emotionellt arbete
Kandidat-uppsats, Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)Sammanfattning : The purpose of this study is to illustrate the emotional labor of Swedish public librarians, find examples of strategies for emotional labor that librarians use, how personal attributes like being an introvert or an extrovert might influence these strategies and find out how guidelines and management affect the emotional labor of librarians. This is done by interviewing six public librarians who are working in different parts of Sweden, in differently sized libraries and with different amount of work experience. LÄS MER
13. Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Decentralized Machine Learning could address some problematic facets with Federated Learning. There is no central server acting as an arbiter of whom or what may benefit from Machine Learning models created by the vast amount of data becoming available in recent years. LÄS MER
14. ATT ARBETA PÅ EN KVINNOJOUR UNDERCORONAPANDEMIN -En kvalitativ studie om jourkvinnors upplevelser av arbetet med våldsutsatta kvinnor
Kandidat-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskapSammanfattning : The Covid-19 pandemic has put Sweden in a new and challenging situation. Several of thewomen's shelters in Sweden have reported an alarming pressure as a result of increased casesof women and children in vulnerable situations. LÄS MER
15. Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. LÄS MER