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Visar resultat 1 - 5 av 68 uppsatser som matchar ovanstående sökkriterier.
1. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER
2. Machine Learning for Pulse Shape Analysis of Heavy Ions
Magister-uppsats, Uppsala universitet/Tillämpad kärnfysikSammanfattning : Most of the Generation IV nuclear reactors designs are intended to operate with a fast neutron spectrum. This necessitates further investigation into nuclear fuel behaviour because fast neutrons yield a higher neutron multiplicity with fission fragments, significantly impacting the criticality assessment of these reactors. LÄS MER
3. Vision system i utmanande miljöer
Master-uppsats, Jönköping UniversitySammanfattning : Companies strive to optimize their processes to increase productivity, efficiency, and quality in the production system. The complexity of different operations in a production system can vary, the level of complexity impacts the automation approach. The requirements of an automated solution increases with the level of complexity. LÄS MER
4. Global Power Structures and the Indigenous Peoples’ Rights
Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionenSammanfattning : The thesis aims to generate hypotheses about the power structures within the UN Permanent Forum on Indigenous Issues. A comparison of the governing of Indigenous Peoples from the Global North and Global South respectively, is made. Firstly, the representatives in the Forum are counted. In a second step, a discourse analysis is conducted. LÄS MER
5. Control system framework for robots based on real-time application. : A proposed framework and dynamic sampling rate algorithm (DSRA) application in a robotic system for efficient data collection.
Kandidat-uppsats, Linnéuniversitetet/Sjöfartshögskolan (SJÖ)Sammanfattning : Industry 4.0 is associated with the technological complexity of designing frameworks for factory automation. In that case, since the robots are used in factory operations, this paper proposes a framework that can be used for (near) real-time applications (RTA) in the robotic system. LÄS MER