Sökning: "Body Building"
Visar resultat 21 - 25 av 270 uppsatser innehållade orden Body Building.
21. Drivkrafter för hållbart byggande på den svenska kontorsmarknaden
Master-uppsats, Lunds universitet/ByggproduktionSammanfattning : Climate change is the biggest challenge of our time. The climate is changing dramatically because of human activity and the construction and property sector plays a key role in reducing climate emissions and building a sustainable future. LÄS MER
22. Doing Architecture
Uppsats för yrkesexamina på avancerad nivå, KTH/ArkitekturSammanfattning : WHY:”Making is the most powerful way we solve problems, express ideas and shape our world. What and how we make defines who we are, and communicates who we want to be.”-Daniel Charny. My vision of this semesters has been to embrace the joy of making. LÄS MER
23. S. Table : A self stabilising and body borne table
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This project aimed to create a prototype of a self stabilising and body borne table. The prototype was constructed by first building a CAD-model and doing a simulation of the entire system. This provided a ground for doing a physical construction. LÄS MER
24. AI Unleashed: The Future of Social Entrepreneurship : A relational view on the intricacies between AI and social entrepreneurship
Magister-uppsats, Umeå universitet/FöretagsekonomiSammanfattning : This thesis is positioned within the intersection of social entrepreneurship and artificialintelligence research streams and explores a timely topic and emerging phenomenon. Whileresearch has started paying attention to the role of artificial intelligence in various aspects oforganizational life, we turn our attention to how social entrepreneurs interact with artificialintelligence to achieve their social missions. LÄS MER
25. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER