Sökning: "Information characteristics"
Visar resultat 1 - 5 av 1878 uppsatser innehållade orden Information characteristics.
1. “MAN DRUNKNAR I INFORMATION FAKTISKT, DET ÄR ETT JÄTTEPROBLEM”. En kvalitativ intervjustudie av hur forskare söker information i sitt forskningsarbete.
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : To search for information today is, by many, seen as an easy and uncomplicated task. All you need is a digital device and the knowledge of the world is there for you to find and use. LÄS MER
2. ‘‘ JAG VET INTE RIKTIGT VAD JAG SKA TRO! ’’. En kvalitativ studie i ungdomars förhållningssätt till desinformation på sociala medier
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : Disinformation, i.e. intentionally false content disseminated with the aim of reaching a particular group to influence their views on a topic or issue, has become increasingly common with the rise of digital media and a clear threat to democratic values, according to research. LÄS MER
3. FÖRSÄLJNING AV OCH INSTÄLLNING TILL FRÄMMANDE VÄXTER I TRÄDGÅRDSBRANSCHEN
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Alien plants that have intentionally been introduced to an area for cultivation in public or private gardens constitute the primary pathway of introduction for invasive alien species that spread into nature. Garden owners want species that have satisfying characteristics, these characteristics are often also linked to plant invasiveness. 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. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER