Sökning: "data testing"
Visar resultat 1 - 5 av 3242 uppsatser innehållade orden data testing.
1. Beyond the Crisis: A Safe Haven Analysis : Empirical Insights into the Divergence of Gold and Bonds for Portfolio Hedging
Kandidat-uppsats, Umeå universitet/FöretagsekonomiSammanfattning : Purpose: This thesis investigates the relationship concerning traditional safe haven assets, gold and US 10-year treasury bonds during periods of market instability, specifically during the economic concerns raised by the COVID-19 pandemic. It assesses the hedging and safe haven properties of these assets and their dynamic nature throughout two periods of unconventional monetary and fiscal policy measures by the Federal Reserve & US Congress respectively. LÄS MER
2. Prestandajämförelse mellan krypterade och okrypterade tidsseriedatabaser med IoT-baserad temperatur- och geopositionsdata
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Internet of Things (IoT) är en växande teknologi som spelar en allt större roll i samhället. Den innefattar ett nätverk av internetanslutna enheter som samlar in och utbyter data. Samtidigt som IoT växer uppstår utmaningar kring hantering av stora datamängder och säkerhetsaspekter. LÄS MER
3. OPTIMIZATION OF CLONE SELECTION PLATFORM FOR PRODUCTION OF RECOMBINANT PROTEINS
Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologiSammanfattning : Background Biologics are type of proteins that can be produced by expression in a foreign host for medical healthcare applications in humans. Monoclonal antibodies (mAbs) are type of biologics that are designed to specifically bind to one target, with a purpose to inhibit a certain molecule that could be associated with a disease process. 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. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Data centers power consumption represent a substantial amount of the global power consumption. While hardware has improved over the years, this study focuses on the software side of optimization, looking at the power consumption differences in containers and virtual machines. LÄS MER