Department of Computer Science
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- 2022
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Mark
Utveckling av ett modernt besökssystem för Electra Sweden
(
- Bach. Degree
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Mark
Predicting anomalies - Utilising user generated log data to create analytical insights and assist in troubleshooting
(
- Bach. Degree
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Mark
Sentiment Analysis from ESG Point-of-View Using ML
(
- Bach. Degree
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Mark
Performance in Apollo Federation - A Controlled Experiment Evaluating the Effects of Execution Strategies and Number of Subgraphs
(
- Bach. Degree
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Mark
Bitemporal Modeling: implementations, performance and use cases
(
- Master (Two yrs)
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Mark
ML-driven self-tuning MySQL-databases
(
- Master (Two yrs)
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Mark
Workload Detection and Continuous Automatic Bayesian Optimization in Database Management Systems
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- Master (Two yrs)
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Mark
Identification of relevant error descriptions in build logs using machine learning
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- Master (Two yrs)
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Mark
Return on investment and maintenance in a mobile test automation implementation
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- Master (Two yrs)
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Mark
Designing a Domain Specific Language for Robotics
(
- Master (Two yrs)