Essays about: "Metrics framework"

Showing result 16 - 20 of 239 essays containing the words Metrics framework.

1. 16. Purchasing and digitalization in an era of turbulence

   University essay from Lunds universitet/Teknisk logistik

   Author : Vishal Natesan; Emil Sarajlic; [2023]
   Keywords : Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

   Abstract : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. READ MORE

3. 17. Evaluating Data Quality for behavioural event data using semiotic theory : Analysing how data roles perceive Data Quality and how it is influenced by Data Quality awareness and experience

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Eleonora Greta Luisa Borzi; [2023]
   Keywords : Data Quality; semiotic framework; big data; data roles; Datakvalitet; semiotiskaramverket; big data; dataroller;

   Abstract : Today companies are handling and producing big data. To maximise the value of the data, companies need to achieve high data quality (DQ), and be able to measure it. This study analyses if semiotic framework is suitable to asses DQ for big data, specifically for behavioural event data. READ MORE

4. 18. Using Social Media and Personality Predictions to Anticipate Startup Success

   University essay from Lunds universitet/Matematisk statistik

   Author : Daniel Stenson; [2023]
   Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE

5. 19. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Keywords : Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Abstract : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. READ MORE

6. 20. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning

   University essay from Linköpings universitet/Datorseende

   Author : Kevin Bärudde; Marcus Gandal; [2023]
   Keywords : Machine Learning; 3D Anomaly Detection; Feature Extraction; Manufacturing; Computer Vision; Vision Transformer; PointNet;

   Abstract : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. READ MORE