Essays about: "thesis on performance management logistic"

Showing result 1 - 5 of 22 essays containing the words thesis on performance management logistic.

  1. 1. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Tobias Andersson; Mattias Mentes; [2023]
    Keywords : Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

    Abstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE

  3. 2. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Aanchal Upreti; [2023]
    Keywords : Software Engineering;

    Abstract : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. READ MORE

  4. 3. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Elias Hadad; Angus Wigton; [2023]
    Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

    Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

  5. 4. Sustainable logistics service providers : A qualitative case study of future technology and IT solutions attributes for 3PL clients

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Amanda Skärbo Jonsson; [2022]
    Keywords : logistics; third-party logistics; inter-organizational relationship; key performance indicators; sustainable balanced scorecard; technical warehouse solution; sustainability; attribute; logistik; tredjepartslogistik; interorganisatoriska relationer; resultatindikationer; hållbart balanserat styrkort; teknisk lagerlösning; hållbarhet; attribut;

    Abstract : The growing demand for commerce has disrupted the market's supply chains. To manage the customer demands, contracting a third-party logistics (3PL) can help make the chain more resource efficient. Actions such as implementing sustainable technology and IT infrastructure are important to invest in. READ MORE

  6. 5. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE