Browsing Masteruppsatser by Title
Now showing items 120-139 of 242
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How to gain a quality overview in Complex large system: An exploratory case study of self-driving car project at Volvo Cars.
(2021-03-03)Tracking of quality state of products during continuous development is important, especially if the development is carried out in a complex domain. Perhaps, a good quality overview would enable effective decision making ... -
Identification of driver baselines
(2022-06-27)This thesis aims to answer whether it is possible to produce one or more baselines based on naturalistic driving data collected over a period of 8 months. The baseline is based on variables extracted from the drivers ... -
Identifying Metrics For Measuring Maintainability Of Models Defined in SystemWeaver
(2021-03-03)Software maintenance forms a crucial activity of any viable software system. Sometimes it becomes the most expensive and time-consuming phase in the life cycle of the software product. Software maintainability on the other ... -
Identifying Related Clinical Trials by Using Graph Database and Clustering
(2019-10-04)In this work we investigate two methods to find similar clinical trials; creating a graph database to migrate clinical trials meta-data from relational database, and clustering clinical trials. We succeeded in identifying ... -
Identifying Technical Debt Impact on Maintenance Effort- An Industrial Case Study
(2015-08-11)Technical Debt refers to sub-optimal solutions in software development that affect the life cycle properties of a system. Source Code Technical Debt is considered to be a problem for many software projects, as neglecting ... -
Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
(2023-10-24)Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the ... -
The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
(2023-10-24)With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged ... -
Implementing incremental and parallel parsing
(2014-09-19)Using recent improvements to Valiant’s algorithm for parsing contextfree languages, we present an implementation of a generator of parsers that works incrementally, that can be parallelized and generated from a grammar ... -
Improving communication in large-scale agile environments: a quasi-experimental approach
(2015-08-11)Communication is known to be a problematic-yet-unavoidable concern in software development. Furthermore, in agile contexts, where the distribution of information is intensified and the information itself is less reliable ... -
Improving echocardiogram view classification using diffusion models
(2023-10-23)In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram ... -
Improving Product Development Process & Quality using Electronic Checklists - A case study
(2011-10-19)Knowledge has been an important asset for organizations. To be successful, organizations should manage their organization knowledge efficiently. An important part of organizational knowledge lies as “experience” in tacit ... -
Improving sample-efficiency of model-free reinforcement learning algorithms on image inputs with representation learning
(2022-10-14)Reinforcement learning struggles to solve control tasks on directly on images. Performance on identical tasks with access to the underlying states is much better. One avenue to bridge the gap between the two is to leverage ... -
Improving Soil Information with Generative and Machine Learning Models
(2022-06-21)Soil data observations are among the most difficult data to collect. Low sample density along with the high cost of sampling has made current soil information that are usually presented as maps, unusable for detailed ... -
Improving the Accuracy of FFT-based GPGPU Ocean Surface Simulations
(2022-12-01)In this paper, we explore how the current state of the art in real-time ocean simulations can be improved in terms of simulation accuracy, while preserving performance. Current methods, both in academia and in the ... -
Indoor Navigation with Model Vehicles
(2015-03-19)This paper describes a vision-based approach to miniature robot vehicle position estimation and navigation, that integrates data from on-board camera, tachometers and steering servo. The goal is to navigate a miniature ... -
The Infinox Infinity Inferrer - A Complement to Finite Model Finding
(2010-03-04)Infinox is an automated reasoning tool that can disprove the existence of finite models of first-order theories. It is a tool of both theoretical and practical value and is especially well suited as a complement to finite ... -
Information and Communication and their Impact on Productivity Determinants of XFTs in a Large-Scale Agile Environment: a Case Study
(2015-08-11)Agile software development has been put forward in response to the industry's need to embrace and adjust to change quicker to be able to deliver higher business value. Even though agile's practices have been originally ... -
Ingredient-based Group Recommender for Recipes (IGR2)
(2022-02-16)The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less ... -
Integrated project risk management in program context
(2013-10-03)Ericsson Money Services as a financial software program develops mobile services the aim of which is to provide worldwide money transactions. The development of the service includes multifunctional processes and a number ... -
Interactionwise Semantic Awareness in Visual Relationship Detection
(2020-11-06)Visual Relationship Detection (VRD) is a relatively young research area, where the goal is to develop prediction models for detecting the relationships between objects depicted in an image. A relationship is modeled as ...