Browsing Masteruppsatser by Title
Now showing items 144-163 of 242
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Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
(2023-11-09)The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using ... -
Lean Software Development
(2015-03-19)The pace of change in software development industry remains at high. People continue to push the boundaries of known techniques and practices in an effort to develop software as efficiently and effectively as possible. ... -
Learning Geometry Compatibility with 3D Convolutional Neural Networks
(2019-10-04)Modern video games offer substantial amounts of customization options. Manually testing the visual compatibility of all options is time-consuming and error-prone. Together with Ghost Games, we present a method of learning ... -
Learning the shapes of protein pockets
(2022-10-14)The comparison of protein pockets plays an important role in drug discovery. Through the identification of binding sites with similar structures, we can assist in finding hits and characterizing the function of proteins. ... -
Leveraging a Traceability Information Model in order to enhance the maintenance of automotive Safety Assurance Cases
(2020-07-06)In safety critical systems, Safety Assurance Cases are created in order to provide argumentation as to why a system is reasonably safe. In the automotive industry, the ISO 26262 standard is complied with in order to ... -
Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies
(2023-10-19)Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a ... -
Lightweight Scenario Planning for Human-Computer Interaction Technologies in the Next 5-7 Years
(2015-03-19)Consumer-oriented technologies have continued evolving and drawn attention to human-computer interaction. Implementing such technologies in a company requires extensive future planning. This study presents scenario planning ... -
Machine Learning for Detecting Hate Speech in Low Resource Languages
(2020-07-08)This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data ... -
Machine learning for molecular property prediction and drug safety
(2023-10-23)Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction ... -
Machine Learning for Suicide Risk Assessment on Depressed Patients
(2019-11-21)Suicide is a global phenomena and the leading cause of death in some countries and age groups, accounting for nearly 1 million deaths and 10 million attempts per year. It costs society a substantial amount of money both ... -
Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
(2023-03-22)Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic ... -
Machine Learning to Uncover Correlations Between Software Code Changes and Test Results
(2017-12-05)Statistics show that many large software companies, particularly those dealing with large-scale legacy systems, ultimately face an ever-growing code base. As the product grows, it becomes increasingly difficult to adequately ... -
Masters Thesis - Estimating Overlap of Verification and Testing Efforts Between Different Test Levels
(2022-10-10)Context: Embedded systems (ES) are continuously growing in complexity and size in the automotive industry. The embedded software makes a larger part of the ES. Likewise, the testing process has become complex, larger, ... -
Measuring Agility- A Validity Study on Tools Measuring The Agility Level of Software Development Teams
(2015-08-12)Context: In the past two decades, an increasing number of software development teams have been transitioning to agile. As a result, a need has emerged for measuring how agile these teams are. To satisfy this need, many ... -
Measuring the Impact of Changes to the Complexity and Coupling Properties of Automotive Software Systems
(2011-10-17)BACKGROUND: In the past few decades, exponential increase in the amount of software used in cars has been recorded. Complex software is hard to maintain, especially due to constant changes which are essential in a car ... -
Method and Tooling for Automated Conformance Checking between Architecture - design and Implementation
(2023-10-25)Many software and/or automotive companies use UML models to write the requirements and later they are implemented by coding. Involving multiple engineers from different teams makes the whole process complex and cumbersome. ... -
Metrics for optimizing post-release configuration of in-vehicle software
(2018-03-27)Complex software architectures and designs to support more and more functionalities, higher software quality and faster time to market requires an optimal decision making. A measurement framework, which is developed based ... -
Migration of an on-premise application to the Cloud
(2012-04-13)Cloud computing has recently became a widely discussed topic in the IT industry. More and more organizations consider using the Cloud, because it enables an easy and cost efficient way of hosting applications, with dynamic ... -
Multi-level FaaS Application Deployment Optimization
(2021-12-09)Functions as a Service (FaaS) has become a trend in software engineering due to its simplicity, elasticity, and cost-effectiveness. FaaS has drawn both the industry’s and researchers’/practitioners’ attention. We notice ... -
Multi-objective optimization for placing airspace surveillance observers
(2021-08-13)Reconnaissance is an important aspect of military planning. Tools that help an alysts monitor and make informed choices are vital for avoiding costly situations. The use of ground-based radar sensors is a common method ...