Sökning: "Information Logistic"

Visar resultat 1 - 5 av 352 uppsatser innehållade orden Information Logistic.

1. 1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

   Master-uppsats, Lunds universitet/Graduate School

   Författare :Luis Felipe Villota Macias; [2024]
   Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

   Sammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER

3. 2. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Zeyuan Wu; [2024]
   Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

   Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

4. 3. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Erik Fahlbeck Carlsson; Martin Herbert; [2023]
   Nyckelord :Lifetime Analysis; Logistic regression; Prediction; Lifetime estimation; Industrial robots; Livslängdsanalys; Logistisk regression; Prediktion; Livslängdsestimering; Industriella robotar;

   Sammanfattning : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. LÄS MER

5. 4. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

7. 5. Are AI-Photographers Ready for Hire? : Investigating the possibilities of AI generated images in journalism

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Andrea Breuer; Isac Jonsson; [2023]
   Nyckelord :Stable Diffusion; text-to-image generating models; ordinal logistic regression; journalism; machine learning; AI;

   Sammanfattning : In today’s information era, many news outlets are competing for attention. One way to cut through the noise is to use images. Obtaining images can be both time-consuming and expen- sive for smaller news agencies. LÄS MER