Sökning: "LEAP system"
Visar resultat 1 - 5 av 63 uppsatser innehållade orden LEAP system.
1. Integrating Waste Heat from Hydrogen Production Into District Heating
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : The aim of this research is to explore the feasibility of the integration of waste heat from electrolyzers within a Combined Heat and Power (CHP) plant and district heating (DH) network and suggest a practical setup for integration. With the escalating emphasis on the development of green hydrogen through electrolysis powered by renewable energy, a substantial amount of waste heat is generated, typically left unused. LÄS MER
2. Generative AI as a co-creator in the conception of images
Kandidat-uppsats, Södertörns högskola/MedieteknikSammanfattning : Generative AI systems for image-creation have taken a giant leap technologically in the last few years, creating opportunities for users and introducing new areas of research for the scientific community. New implementations for these technologies are discovered regularly and due to the complex nature of AI, there is an ongoing discussion among researchers on whether generative AI is yet another tool, or if there is potential for the technology to be something more. LÄS MER
3. A novel clinical test of pointing acuity withopen and closed eyes a validity study
Master-uppsats, Luleå tekniska universitet/Institutionen för hälsa, lärande och teknikSammanfattning : Hand proprioception is crucial for daily activities and may be compromised by diseases or injuries,impacting patients' independence. The lack of feasible, accurate, and affordable clinical tools forhand proprioception assessment poses a significant challenge, essential for identifying dysfunctionand evaluating treatment effects. LÄS MER
4. Energibehovet i Skåne - En analys av klimat- och energistrategin med LEAP
Magister-uppsats, Lunds universitet/Miljövetenskaplig utbildningSammanfattning : Climate change is one of the great challenges of our time and requires adaptation on many levels of society, including a transition to renewable energy sources. There is a goal to achieve a fossil-free and climate-neutral Scania by 2030, which puts pressure on the energy system which must also meet rising energy demands. LÄS MER
5. Efficient and robust reduction of bounding boxes of a multi-class neural network’s output for vehicular radar-systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Object detection has been a fundamental part of many emerging technologies, such as autonomous vehicles, robotics, and security. As deep learning is the main reason behind the leap of performance in object detection, it has mostly been associated with a post-processing step of non-maximum suppression (NMS) to reduce the number of resulting bounding boxes output from the network to, ideally, one box per object. LÄS MER