Sökning: "Learning with errors"
Visar resultat 1 - 5 av 285 uppsatser innehållade orden Learning with errors.
1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER
2. 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
3. Efficiency by design : A way to meet expert users' needs
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. LÄS MER
4. Dealing With The Unexpected in Prehospital Patientcare: The Lived Experience Of EMS Clinicians
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Background In prehospital patient care, numerous patients are examined, treated, and transported. Some are acutely seriously ill, while others, though not acutely ill, necessitate ambulance transport due to their inability to do so independently. Among the latter group, patients may be sicker than initially estimated. LÄS MER
5. Log Frequency Analysis for Anomaly Detection in Cloud Environments
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. LÄS MER