Essays about: "mathematics - analysis"

Showing result 1 - 5 of 443 essays containing the words mathematics - analysis.

  1. 1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    University essay from Lunds universitet/Matematisk statistik

    Author : Zeyuan Wu; [2024]
    Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE

  2. 2. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

    University essay from Lunds universitet/Statistiska institutionen

    Author : Marcus Stolz; Jonathan Christopher; [2024]
    Keywords : Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

    Abstract : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). READ MORE

  3. 3. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

    University essay from Lunds universitet/Statistiska institutionen

    Author : Linda Erwe; Xin Wang; [2024]
    Keywords : sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

    Abstract : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. READ MORE

  4. 4. Stock Price Predictions for FAANG Companies Using Machine Learning Models

    University essay from Lunds universitet/Statistiska institutionen

    Author : Hugo Dahlquist; Fredrik Fourong; [2024]
    Keywords : Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

    Abstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE

  5. 5. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE