Sökning: "normal model"

Visar resultat 1 - 5 av 811 uppsatser innehållade orden normal model.

1. 1. EVALUATING CRYSTAL FRAMEWORK IN PRACTICE

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Victor Mertala; Nordin Christopher; [2024]
   Nyckelord :CRYSTAL Framework; Tiny Twin; Tiny Digital Twin; Rebeca; Timed Rebeca; monitor; cyber attacks;

   Sammanfattning : Cyber-physical systems (CPSs) are used in several industries, such as healthcare, automotive, manufacturing, and more. The fact that CPSs often contain components integrated via communication networks means that malicious actors can exploit vulnerabilities in these components through cyber attacks. LÄS MER

3. 2. Livet efter sepsis : En litteraturöversikt om patienters upplevelse av sin livssituation efter att ha överlevt sepsis

   Uppsats för yrkesexamina på grundnivå, Högskolan Väst/Institutionen för hälsovetenskap

   Författare :Agnes Aspång; Sofia Bylund; [2024]
   Nyckelord :Life situation; Patient experience; Sepsis; Survivor; Quality of life;

   Sammanfattning : Sepsis, a life-threatening response to infection, represents a substantial global health concern. Each year, about 48,9 million people are affected by sepsis. While survival rates have improved, sepsis survivors often experience numerous challenges after discharge from the hospital. LÄS MER

4. 3. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen

   Författare :Max Svensson; [2024]
   Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

   Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

5. 4. Time Series Forecasting on Database Storage

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

   Författare :Pranav Patel; [2024]
   Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

7. 5. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Markus Gerholm; Johan Sörstadius; [2024]
   Nyckelord :Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

   Sammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER