Masteruppsatser: Recent submissions
Now showing items 21-40 of 208
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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 ... -
Facial Expression Recognition for Clinical Trial Self-recordings
(2022-06-22)Facial expressions have long been linked to human emotions, physiology, and behavior. Novel work suggests that clinical trial subject facial expression relates to self-reported quality of life. This implies automated ... -
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 ... -
Detection of software incidents from large log material with the use of unsupervised machine learning
(2022-06-20)Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies ... -
Automated Metadata Extraction for Job Advertisements
(2022-06-20)This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment ... -
Comparative Evaluation of Sentiment Analysis Methods
(2022-06-20)Sentiment analysis is an on-going field of research within the realm of Natural Language Processing, in which we wish to accurately assess the sentiment of an author on a given topic. Within this thesis project I construct ... -
A Generic Model of Motivation in Artificial Animals Based on Reinforcement Learning
(2022-05-06)This thesis is a part of a broader research project at Chalmers University of Technology focused on ecosystems’ simulations using reinforcement learning artificial animals, called animats. The scope of this project is to ... -
Secure Joint Radar Communications and Risk Assessment for Autonomous Driving
(2022-05-04)Both radar and Vehicle-to-Vehicle (V2V) communication systems in autonomous vehicles are vulnerable to security threats. However, combining radar and V2V communication systems has the potential to overcome the threats ... -
Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN
(2022-04-27)This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. ... -
There’s a Microwave in the Hallway
(2022-04-20)Embodied Question Answering (EQA) is a task in which an agent situated in virtual environment navigates from its current position to an object (Navigation), and then answer a question about it (Visual Question Answering, ... -
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 ... -
Variability Management in Robotic Systems: A Variability-Modelling Language That Implements Variation Points Based On Binding Time and Binding Mode
(2022-02-02)Technological advancements have led to a growing demand for efficient solutions that minimise risk and maximise efficiency when it comes to performing tasks in nondeterministic environments. In the wake of the current ... -
Practice variation in sepsis management in the eICU database
(2021-12-17)Sepsis is a life-threatening syndrome triggered by an infection. Despite international guidelines, sepsis management varies between sites. This unwanted practice variation may affect negatively the quality of care but ... -
The Benefits of Breathing Practices For Computer Science Workers
(2021-12-15)Breathing is a powerful internal resource that is within conscious control and that often goes unnoticed in one’s daily life. In this study, the benefits of breathing practice for software developers who are under a high ... -
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 ... -
Convolutions on graphs for learning vehicle crash behaviour
(2021-11-09)Convolutional Neural Networks (CNN) have shown successful results in the recent years, especially within the area of image analysis. The idea of learning to predict the result of a crash simulation using machine learning ... -
DEVELOPMENT OF IMMERSIVE EXPERIENCE FOR THE RECONSTRUCTION OF A VINTAGE CINEMA THEATRE - Explore techniques of game design and immersive technology to recreate the experience of exploring the Flamman cinema building
(2021-11-03)Virtual reality (VR) made cinema applications today can be considered as simple media players that are often set in a fictions environment without the privilege of explorability given to the user - who from the start ... -
Continuous Parallel Approximate Frequent Elements Queries on Data Streams
(2021-10-06)The frequent elements problem involves processing a stream of elements and finding all elements that occur more than a given fraction of the time. A relaxed version of this problem is the -approximate elements problem ... -
Quality Attributes of Data in Distributed Deep Learning Architectures
(2021-09-28)Large volume of data is generated by different systems. Intelligent systems such as autonomous driving uses such large volume of data to train their artificial intelligence models. However, good quality data is one of the ... -
Pattern Matching for Non-inductive Types in Code-generating Haskell EDSLs
(2021-09-20)Internet of Things (IoT) devices are becoming increasingly common in the modern home, as are IoT-related security vulnerabilities. There are reasons to believe that many of these vulnerabilities were caused by programming ...