Sökning: "kernel density"
Visar resultat 1 - 5 av 50 uppsatser innehållade orden kernel density.
1. Analys av tillgänglighet och social exkludering i Uppsala stad : : med fokus på stadsdelarna Gottsunda och Svartbäcken
Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionenSammanfattning : Tillgängligheten till transporter och offentlig service är kritiskt för att ett samhälle ska kunna frodas och utvecklas, men vissa stadsdelar kan vara särskilt utsatta jämfört med andra. Denna studie syftade till att undersöka variationen i tillgänglighet mellan olika områden, med två stadsdelar i Uppsala stad som exempel. LÄS MER
2. Clustering on groups for human tracking with 3D LiDAR
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER
3. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets
Uppsats för yrkesexamina på avancerad nivå, Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingSammanfattning : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity. Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. LÄS MER
4. Selective Kernel Network based Crowding Counting and Crowd Density Estimation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. LÄS MER
5. Predicting Reactor Instability Using Neural Networks
Kandidat-uppsats, KTH/FysikSammanfattning : The study of the instabilities in boiling water reactors is of significant importance to the safety withwhich they can be operated, as they can cause damage to the reactor posing risks to both equipmentand personnel. The instabilities that concern this paper are progressive growths in the oscillatingpower of boiling-water reactors. LÄS MER