Sökning: "Network position"
Visar resultat 1 - 5 av 556 uppsatser innehållade orden Network position.
1. Influencers in Confinement : Measuring Covid-19’s Impact on Leadership in Pro- Eating Disorder Twitter Communities
Master-uppsats, Linköpings universitet/Institutet för analytisk sociologi, IASSammanfattning : The Covid-19 pandemic presented unprecedented challenges, with global lockdowns impacting individuals on a profound scale. Many took to social media to cope with feelings of anxiety and isolation. LÄS MER
2. Learning a Grasp Prediction Model for Forestry Applications
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. LÄS MER
3. A Comparative Analysis of SecurityServices Using Identity and AccessManagement (IAM)
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Identity and Access Management (IAM) is a critical IT securityframework for managing digital identities and resource access. With roots datingback to ancient civilizations, IAM has evolved from basic authentication to sophisticated methods. LÄS MER
4. Assessing Subsidiary Performance in a Multinational Context - A single case study investigating practical procedures for performance measurement and underlying factors for performance creation.
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The path for successful performance is uncertain for any corporation, where there is no concise definition of performance and the objective of the organisation. The uncertainties and challenges related to the management of Multinational Corporations (MNCs) complicates the performance assessment of subsidiaries. LÄS MER
5. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER