Sökning: "Distributed data"
Visar resultat 1 - 5 av 2018 uppsatser innehållade orden Distributed data.
1. A qualitative study of foreign aid and China’s role in economic and human development in Zambia
Master-uppsats, Göteborgs universitet/Institutionen för globala studierSammanfattning : The precedent of unrivaled lending in Zambia, to a great degree, and courtesy to the World Bank, has generated a normative and financial frame that puts forward economic prosperity as only being made manifest through lending in perpetuality. Zambia has in recent decades found itself in between both West and East spheres of power in terms of foreign aid and this has had an impact on its development. LÄS MER
2. Spädbarnsdödligheten I Norra Sverige 1865–1935. En Komparativ Studie. : Infant mortality in northern Sweden 1865-1935. A comparative study.
Kandidat-uppsats, Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)Sammanfattning : This paper aimed to investigate infant mortality in the parishes of Luleå, Jokkmokk and Haparanda, in Sweden, during three different time periods: 1865, 1900 and 1935. The selected parishes represented diverse environments where previous research had identified varying infant mortality rates. Luleå represented urban setting. LÄS MER
3. Samband mellan förlossningsförlopp och valpdödlighetr : hos berner sennen och labrador retrieve
Master-uppsats, SLU/Dept. of Clinical SciencesSammanfattning : Reproduktion och ett normalt förlossningsförlopp är av stor vikt inom aveln för renrasiga hundar. Flertal svenska och internationella studier har studerat normalfysiologi, reproduktionsstörningar och valpdödlighet. Det finns multifaktoriella orsaker till ökad valpdödlighet under förlossnings-förloppet. LÄS MER
4. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. LÄS MER
5. 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