Essays about: "virtual domain"
Showing result 1 - 5 of 64 essays containing the words virtual domain.
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1. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. READ MORE
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2. Effects of Virtual Reality and Trajectory Visualization on Neurosurgical Training
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With its increasing potential, Virtual Reality (VR) technology has found a growing presence in medical education. In the domain of neurosurgical training, VR has been thoroughly investigated, but gaps still persist, such as in the field of Minimally Invasive Surgery (MIS) and assistive visualizations. READ MORE
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3. Design space exploration for co-mapping of periodic and streaming applications in a shared platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As embedded systems advance, the complexity and multifaceted requirements of products have increased significantly. A trend in this domain is the selection of different types of application models and multiprocessors as the platform. READ MORE
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4. Leadership in the Hybrid Era : Navigating Agile Software Development Teams
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : The virtual office has since the pandemic become a part of many workers’ lives and something that many expect a modern organization to provide, especially software developers. The increasing adoption of hybrid work models and agile methodologies poses new challenges to leaders. READ MORE
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5. Sim2Real: Generating synthetic images from industry CAD models with domain randomization
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE