Sökning: "metadata analysis"
Visar resultat 1 - 5 av 92 uppsatser innehållade orden metadata analysis.
1. Tools evolving AI systems via experiment management: A survey of machine learning practitioners
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Artificial intelligence employs machine learning to create intelligent systems. Experiment management tools have been created to support machine learning practitioners in their development efforts relating to the management of artifacts and metadata. LÄS MER
2. Comparing machine learning algorithms for detecting behavioural anomalies
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. LÄS MER
3. Digital Forensic Analysis of Snapchat and BeReal : In Search of Artifacts
Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Snapchat and BeReal are popular social media platforms focused on photo sharing and instant messaging. A tool often used in police investigations is the analysis of communication, this includes different electronic devices and smartphone devices. LÄS MER
4. Use of phrasal verbs among Swedish secondary school students : Do patterns and amount of phrasal verb usage correlate with the level of engagement in Extramural English activities?
Uppsats för yrkesexamina på avancerad nivå, Karlstads universitetSammanfattning : Extramural English (EE) activities are activities in English that students spend time on outside of school. Previous studies have often concluded that EE activities have a positive effect on students’ English proficiency. The phrasal verb is a language feature which often causes problems for learners of English as a second language. LÄS MER
5. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER