Search for dissertations about: "computer science training"
Showing result 6 - 10 of 141 swedish dissertations containing the words computer science training.
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6. Distributed and federated learning of support vector machines and applications
Abstract : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. READ MORE
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7. Monitoring distributed teamwork training
Abstract : In team collaboration training, especially when the training is distributed on the net, it exists a problem of identifying the students' collaboration and work processes. An important design task when developing distributed interactive simulation systems for team training is therefore to define a proper monitoring functionality that will help training managers to evaluate the training. READ MORE
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8. Methods and tools in computer-supported taskforce training
Abstract : Efficient trammg methods are important for establishing, maintammg and developing taskforces that are organised to manage complex and dangerous situations in order to serve and protect our society. Furthermore, the technical sophistication of various systems in these organisations, for example command, control and communication systems is growing, while the resources available for training are being reduced due to budget cuts and environmental restrictions. READ MORE
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9. Virtual Training - Preparatory Training in Automotive Assembly
Abstract : The automotive industry is constantly facing new challenges. Reduction of waste and time-to-market, ability to offer the customer a unique combination of options as well as high product quality are examples of issues that have been in focus during the past decade and still considered extremely important. READ MORE
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10. Anomaly detection in trajectory data for surveillance applications
Abstract : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. READ MORE