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Showing result 1 - 5 of 57 essays matching the above criteria.
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1. A Case Study on the Limitations of Automated Duplicate Bug Report Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. READ MORE
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2. Improving customer support efficiency through decision support powered by machine learning
University essay from Linköpings universitet/Programvara och systemAbstract : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. READ MORE
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3. Optic nerve sheath diameter semantic segmentation and feature extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. READ MORE
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4. Automated Extraction of Insurance Policy Information : Natural Language Processing techniques to automate the process of extracting information about the insurance coverage from unstructured insurance policy documents.
University essay from Uppsala universitet/DatalogiAbstract : This thesis investigates Natural Language Processing (NLP) techniques to extract relevant information from long and unstructured insurance policy documents. The goal is to reduce the amount of time required by readers to understand the coverage within the documents. READ MORE
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5. Digital Twin Knowledge Graphs for IoT Platforms : Towards a Virtual Model for Real-Time Knowledge Representation in IoT Platforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis presents the design and prototype implementation of a digital twin based on a knowledge graph for Internet of Things (IoT) platforms. The digital twin is a virtual representation of a physical object or system that must continually integrate and update knowledge in rapidly changing environments. READ MORE