Sökning: "Pattern discovery"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden Pattern discovery.
1. Structural analysis of HZO thin film and electrode using X-ray diffraction
Kandidat-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : Since its discovery in 2011, the ferroelectricity of thin films based on HfO2 has been studied intensively. In particular, thin films with a 1:1 ratio of HfO2 and ZrO2 (HZO) has been of great interest. The ferroelectricity arises from a non-centrosymmetric orthorhombic (o) phase of HZO whose prevalence is dependent on the processing conditions. LÄS MER
2. Ensuring the Security of PyPI Packages
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package Index, PyPI, to download the specific code packages they want to use. LÄS MER
3. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. LÄS MER
4. The TikTok effect: How TikTok is shaping the way we consume music
Kandidat-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : Digitalization has in recent years transformed the music industry and how people consume music. Simultaneously, the social media app TikTok has emerged as a major player in marketing, using its unique algorithmic structure and user-generated content to become a powerful marketing tool for musicians and record labels alike. LÄS MER
5. Treatment Adherence in Digital Psychotherapy Using Machine Learning to Predict Patient No-shows
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Background: Untreated patients and discontinuity in treatments are problems that mental health care is facing. Even though people seek care, there is still a pattern of patients who do not attend their scheduled appointments, referred to as No-shows. LÄS MER