Sökning: "iterative learning approach"

Visar resultat 6 - 10 av 70 uppsatser innehållade orden iterative learning approach.

  1. 6. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Srija Sunkara; [2023]
    Nyckelord :Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

    Sammanfattning : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. LÄS MER

  3. 7. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    Master-uppsats, KTH/Fysik

    Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
    Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER

  4. 8. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Oscar Wastesson; [2023]
    Nyckelord :Machine learning; decision trees; sepsis; classification;

    Sammanfattning : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. LÄS MER

  5. 9. John the Baptist Through the Lens of Generative AI : A Narrative and Reception-Historical Analysis of Mark 1

    Kandidat-uppsats, Uppsala universitet/Teologiska institutionen

    Författare :Daniel Wettervik; [2023]
    Nyckelord :John the Baptist; Gospel of Mark; biblical art; visual exegesis; narrative criticism; Late Ancient Christian Sources; phenomenology; generative artificial intelligence; artificial intelligence; Midjourney; Johannes döparen; Markusevangeliet; biblisk konst; visuell exegetik; narrativ tolkning; patristik; fenomenologi; generativ artificiell intelligens; artificiell intelligens; Midjourney;

    Sammanfattning : This thesis addresses the intersection of reception history in biblical studies, Generative Artificial Intelligence (GAI) and phenomenology. Three images, from text prompts using different English translations of Mark 1:1–8 (KJV, NRSV and NIV) have been generated by GAI. LÄS MER

  7. 10. Optic nerve sheath diameter semantic segmentation and feature extraction

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

    Författare :Simone Bonato; [2023]
    Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

    Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER