Browsing Masteruppsatser by Title

Now showing items 33-52 of 242

    • Benchmarking Deep Learning Testing Techniques A Methodology and Its Application 

      Chuphal, Himanshu; Dimitrov, Kristiyan (2020-07-06)
      With the adoption of Deep Learning (DL) systems within the security and safetycritical domains, a variety of traditional testing techniques, novel techniques, and new ideas are increasingly being adopted and implemented ...

    • Benchmarking Machine Learning Methods for Peptide Activity Predictions 

      Knutson, Boel; Meskini Moudi, Lida (2022-10-14)
      One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired ...

    • Bioinformatics pipeline development to support Helicobacter pylori genome analysis 

      SHAGHAYEGH HOSSEINI, SEYEDEH (2016-09-20)
      Helicobacter pylori is a bacterium related to a variety of diseases and is a major risk factor for gastric cancer [1]. There can be differences in the genomes of H. pylori bacteria that are isolated from different patient ...

    • Brandlink Business-to-Business E-commerce web Solution 

      Arif, Muhammad; Nasir Janjua, Muhammad Ali (2014-02-19)
      Today, business is moving rapidly towards web technologies due to their portability, efficiency and multi-platform compatibility. Web technologies are impacting the way of businesses and their management. It is very ...

    • Challenges in Specifying Safety-Critical Systems with AI-Components 

      Malleswaran, Iswarya; Dinakaran, Shruthi (2023-09-26)
      Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the ...

    • City Safety Event Classification using Machine Learning 

      Jurczynska, Natalia (2019-11-21)
      City safety technology aims to reduce vehicle collisions using activated warnings and braking based on automated detection of environmental threats. However, automatic detection of tentative collisions may differ from ...

    • Classification of role stereotypes for classes in UML class diagrams using machine learning 

      Ahmed, Jobaer; Huang, Maoyi (2021-03-03)
      Software development process is becoming inherently complex in recent decades. To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach ...

    • CNN-LSTM architecture for predicting hazardous driving situations 

      Lindblad, Noomi; Platakidou, Stefani (2023-10-05)
      This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of ...

    • Comparative Evaluation of Sentiment Analysis Methods 

      Hayes, Kieron (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 ...

    • Comparing HTML5 frameworks when creating multi-platform mobile views in an existing MVC4 application 

      Björk, Fredrik; Madlani, Niel (2015-03-19)
      There is an increasing number of programming languages and software development platforms on the contemporary mobile market. Developers choose to adjust to the needs for portability of their applications by using of ...

    • Compressed Machine Learning on Time Series Data 

      Finger, Felix; Gocht, Nathalie (2020-07-08)
      The extent of time related data across many fields has led to substantial interest in the analysis of time series. This interest meets growing challenges to store and process data. While the data is collected at an ...

    • Compression of Sequential Voxel Data for Sequence-based Animation 

      Antonijevic, Filip (2023-10-23)
      This thesis presents a method for lossy compression of voxel data in an animation sequence. Uncompressed voxel animation can become very memory intensive and therefore need a more efficient method to store and render such ...

    • Confounder Parsing for Text Matching 

      Reichl, Jannes; Rönkkö, Johan (2021-07-06)
      In observational studies for policy evaluation, matching is used in service of causal inference to simulate randomization and thus reduce selection bias that might occur when treatment assignment differs systematically. ...

    • Continuous Parallel Approximate Frequent Elements Queries on Data Streams 

      Jarlow, Victor (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 ...

    • Contract Checking for Feldspar 

      Lashkari, Fatemeh (2012-05-25)
      "Contracts play an important role in the construction of robust software" [13]. Program invariants are expressed in familiar notation with known semantics by using contracts. Assertions based on contracts has been widely ...

    • Convolutions on graphs for learning vehicle crash behaviour 

      Adin, Daniel (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 ...

    • Creating a Dependency Management DevBot to Improve DeveloperWorkflows 

      Kaili, Michalis; Ullman, Fredrik (2023-12-04)
      Software Development Bots (DevBots) are automated tools that handle tasks in a software development setting, often used to simplify daily routines. Research within the field evaluates the use of DevBots but most focus on ...

    • Creating an interpreted dissector for Wireshark 

      Wärre, Tobias (2010-04-14)
      En Gateway GPRS Support Node (GGSN) är en telekommunikationsväxel för mobil dataöverföring. Den är väldigt protokollintensiv då den kan kommunicera med en mängd andra kommunikationsapparater med hjälp av ett stort antal ...

    • Creation of a Virtual Reality Experience for the Virtual Conservation of The Flamman Theater Using Unreal Engine 4 

      Zamora Arias, Fausto (2023-10-25)
      The Flamman Theater identity was successfully digitally preserved for the cultural heritage of Gothenburg by creating a video game, while tested with pandemic restrictions. On the technical side, this project combines ...

    • Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts 

      Rosvall, Lucas; Paasonen, Niklas (2023-10-05)
      Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable ...