Essays about: "IR"
Showing result 31 - 35 of 417 essays containing the word IR.
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31. Images and International Relations : Analysing the images of children in the Syrian war
University essay from Malmö universitet/Institutionen för globala politiska studier (GPS)Abstract : This thesis examines the study of images in International Relations (IR). Even though images play an important role in global politics, images have received little attention by IR scholars. In this thesis I aim to answer how images can be studied. READ MORE
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32. Future Industry : State of the art
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : The study begins with a systematic review of the literature, examiningscholarly articles and research papers that investigate the concept of futureindustries and related subfields. This comprehensive review identifies keythemes, theories, and frameworks, laying the groundwork for understandingthe dynamic nature of future industries. READ MORE
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33. “Zviedrija ne ēd pīrāgi”: A case study of heritage Latvian in Sweden : Heritage language exposure and language change in preadolescent heritage speakers
University essay from Stockholms universitet/Baltiska språkAbstract : Heritage languages are increasingly seen as a source of important insight in linguistics. Latvian has a long and under-researched history as a heritage language, with a heterogenous community of heritage speakers from two waves of migration in many countries including Sweden. READ MORE
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34. Beneath the Surface : A qualitative analysis of United Nations Security Council decision-making on Responsibility to Protect
University essay from Uppsala universitet/Institutionen för freds- och konfliktforskningAbstract : .... READ MORE
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35. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. READ MORE