Sökning: "end-to-end monitoring"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden end-to-end monitoring.
1. Adopting Observability-Driven Development for Cloud-Native Applications : Designing End-to-end Observability Pipeline using Open-source Software
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As cloud-native applications become more distributed, complex, and unpredictable with the adoption of microservices and other new architectural components, traditional monitoring solutions are inadequate in providing end-to-end visibility and proactively identifying deviations from expected behaviour before they become disruptive to services. In response to these challenges, observability-driven development (ODD) is proposed as a new methodology that leverages tools and practices to observe the state and detect the behaviour of systems. LÄS MER
2. MODELING AND EVALUATING AN INTELLIGENT HEALTH MONITORING SYSTEM FOR ATRIAL FIBRILLATION DETECTION
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : The heart disease Atrial Fibrillation (AFib) has increased worldwide in recent years. Untreated AFib can lead to cardiovascular complications such as stroke and heart failure. AFib is detected by physicians using Electrocardiogram (ECG). Since this disease can occur without symptoms for some patients, it can lead to late detection. LÄS MER
3. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. LÄS MER
4. AI-driven admission control : with Deep Reinforcement Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 5G is expected to provide a high-performance and highly efficient network to prominent industry verticals with ubiquitous access to a wide range of services with orders of magnitude of improvement over 4G. Network slicing, which allocates network resources according to users’ specific requirements, is a key feature to fulfil the diversity of requirements in 5G network. LÄS MER
5. DataOps : Towards Understanding and Defining Data Analytics Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Data collection and analysis approaches have changed drastically in the past few years. The reason behind adopting different approach is improved data availability and continuous change in analysis requirements. Data have been always there, but data management is vital nowadays due to rapid generation and availability of various formats. LÄS MER