Sökning: "employ"
Visar resultat 1 - 5 av 1197 uppsatser innehållade ordet employ.
1. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER
2. Simulating Mobility of Large Population using Mobile Application Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have historically contributed to this valuable information, they come with shortcomings such as being expensive to collect, easily outdated, and having short time coverage. LÄS MER
3. Från formulering till realisering : - Riktlinjer för Svenska kyrkans konfirmandarbetes väg från dokument till konkret arbete
Magister-uppsats, Uppsala universitet/Teologiska institutionenSammanfattning : The purpose of this essay was to investigate the transition of the document “Riktlinjer för Svenska kyrkans konfirmandarbete” from theoretical guidelines to practical implementation. Another aspect of the essay involved an examination of how the concepts of knowledge, experience and religious experience were utilized within these guidelines and in the written plans of confirmation work across three parishes. LÄS MER
4. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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. LÄS MER
5. Digitala hjältar eller etiska skurkar? : En kvantitativ innehållsanalys om användningen av oetiska och etiska metoder, samt andrafiering i konfrontationsvideos publicerade på Dumpen.se.
Kandidat-uppsats, Jönköping University/HLK, Medie- och kommunikationsvetenskapSammanfattning : Studien syftar till att, ur ett medieetiskt perspektiv, analysera vilka oetiska och etiska metoder som organisationen Dumpen använder samt att granska hur individer som söker kontakt med barn i sexuellt syfte andrafieras. Detta för att bidra med kunskap till forskningen kring journalistik och medieetik. LÄS MER