Sökning: "Pipeline"
Visar resultat 1 - 5 av 755 uppsatser innehållade ordet Pipeline.
1. Towards Automated Log Message Embeddings for Anomaly Detection
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Log messages are implemented by developers to record important runtime information about a system. For that reason, system logs can provide insight into the state and health of a system and potentially be used to anticipate and discover errors. LÄS MER
2. Utilizing Hydra for Real-Time Reconstruction of Environments in Extended Reality
Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologiSammanfattning : This thesis explores the use of Hydra for real-time reconstruction of environments in extended reality (XR). The development of the prototype was performed in an iterative manner. Three iterations were executed, each resulting in a prototype with improvements related to the takeaways from the preceding prototype. LÄS MER
3. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER
4. Supplementing Dependabot’svulnerability scanning : A Custom Pipeline for Tracing DependencyUsage in JavaScript Projects
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Software systems are becoming increasingly complex, with developers frequentlyutilizing numerous dependencies. In this landscape, accurate tracking and understanding of dependencies within JavaScript and TypeScript codebases are vital formaintaining software security and quality. LÄS MER
5. Automatic Semantic Segmentation of Indoor Datasets
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER