Sökning: "Automatic Information Extraction"
Visar resultat 1 - 5 av 51 uppsatser innehållade orden Automatic Information Extraction.
1. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers
Master-uppsats, SLU/Dept. of Animal Nutrition and ManagementSammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER
2. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development
Uppsats för yrkesexamina på grundnivå, FörsvarshögskolanSammanfattning : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. LÄS MER
3. Automatic Extraction of Financial Data in Credit Rating Analysis
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the increasing use of big data and automatization, financial data extraction is of growing importance in the financial industry. The thesis examines how an extraction system can be developed for extracting relevant data for credit rating analysis. LÄS MER
4. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. LÄS MER
5. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER