Sökning: "Ensemble Model"

Visar resultat 1 - 5 av 160 uppsatser innehållade orden Ensemble Model.

  1. 1. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change

    Master-uppsats, SLU/Dept. of Soil and Environment

    Författare :Danila Valeriano; [2024]
    Nyckelord :crop modelling; APSIM; Malawi; maize; soybean; Gliricidia; agroforestry; legume intercropping; climate predictions; climate adaptation; SDSM;

    Sammanfattning : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. LÄS MER

  3. 2. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationer

    Författare :Patrik Gerdelius; Sjönneby Hugo; [2024]
    Nyckelord :Fraud Detection; User Behaviour; Random Forest; PCA; SMOTE;

    Sammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER

  4. 3. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  5. 4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ivan Baheux; [2023]
    Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

    Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

  7. 5. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER