Sökning: "Ivan Eng"
Visar resultat 1 - 5 av 144 uppsatser innehållade orden Ivan Eng.
1. OpenAI Case - Group 13B - BUSN35
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : .... LÄS MER
2. CHANGES IN URBAN GREENERY DURING THE 2018 HEAT WAVE – A CASE STUDY FOR GÖTEBORG USING REMOTE SENSING
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Urban vegetation plays a crucial role in diverse urban microclimates. The numerous ecosystem services provided by vegetation, particularly trees, ensure greater quality of life and thermal comfort regulation. Yet, not all trees are immune to extreme weather events, such as droughts and heat waves, especially in cities. LÄS MER
3. Off-State Stress Effects in AlGaN/GaN HEMTs : Investigation of high-voltage off-state stress impact on performance of and its retention in hybrid-drain ohmic gate AlGaN/GaN HEMTs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : High electron mobility transistors (HEMTs) realized using AlxGa1-xN/GaN are relatively new technology which is prominent for high-speed and high-power applications. Some of the main problems with this technology were identified as dynamic RDSon, current collapse and threshold voltage instabilities due to the off-state stress. LÄS MER
4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER
5. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER