Essays about: "Learning with errors"
Showing result 1 - 5 of 248 essays containing the words Learning with errors.
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1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : 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. READ MORE
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2. Towards Automated Log Message Embeddings for Anomaly Detection
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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. READ MORE
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3. Efficiency by design : A way to meet expert users' needs
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : 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. READ MORE
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4. Dealing With The Unexpected in Prehospital Patientcare: The Lived Experience Of EMS Clinicians
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : 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. READ MORE
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5. Log Frequency Analysis for Anomaly Detection in Cloud Environments
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : 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. READ MORE