Sökning: "Network processing"
Visar resultat 1 - 5 av 845 uppsatser innehållade orden Network processing.
1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER
2. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER
3. How to Draw a Circle: Investigating Relationship Management in Circular Business Companies
C-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledningSammanfattning : Despite the recent surge in circular business model (CBM) research, the discipline is still in its infancy. The field is primarily driven by practitioners and lacks suggestive frameworks, which complicates current CBM trials. LÄS MER
4. Towards Performance Evaluation and Future Applications of eBPF
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the Linux kernel. eBPF improves flexibility for data processing and is realized via a virtual machine featuring both a Just-In-Time (JIT) compiler and an interpreter running in the kernel. LÄS MER
5. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. LÄS MER