Essays about: "fusing"
Showing result 1 - 5 of 72 essays containing the word fusing.
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1. Collaborative Mapping with Drone Swarms Utilizing Relative Distance Measurements
University essay from Linköpings universitet/ReglerteknikAbstract : The field of use for unmanned aerial vehicles, UAVs, has completely exploded in the last decade. Today they are used for surveillance missions and inspecting places that are difficult for people to access. To increase the efficiency and robustness in the execution of these types of missions, swarms of cooperating drones can be used. READ MORE
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2. Speech Classification using Acoustic embedding and Large Language Models Applied on Alzheimer’s Disease Prediction Task
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Alzheimer’s sjukdom är en neurodegenerativ sjukdom som leder till demens. Den kan börja tyst i de tidiga stadierna och fortsätta under åren till en allvarlig och obotlig fas. Språkstörningar uppstår ofta som ett av de tidiga symptomen och kan till slut leda till fullständig mutism i de avancerade stadierna av sjukdomen. READ MORE
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3. Towards gradient faithfulness and beyond
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE
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4. Event-Based Visual SLAM : An Explorative Approach
University essay from Uppsala universitet/Signaler och systemAbstract : Simultaneous Localization And Mapping (SLAM) is an important topic within the field of roboticsaiming to localize an agent in a unknown or partially known environment while simultaneouslymapping the environment. The ability to perform robust SLAM is especially important inhazardous environments such as natural disasters, firefighting and space exploration wherehuman exploration may be too dangerous or impractical. READ MORE
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5. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. READ MORE