Browsing Department of Computer Science and Engineering / Institutionen för data- och informationsteknik by Title
Now showing items 362-381 of 616
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Lane Detection and Following Approach in Self-Driving Miniature Vehicles
(2016-06-27)The current work, discusses the various experiences, lessons learned and developed novelties, regarding the lane detection and lane following features of miniature autonomous vehicles. Particularly, we outline the work ... -
A Language for Board Games – Development of an Embedded Domain-Specific Language for Describing Board Games
(2023-03-03)In recent years board games have increasingly found themselves in the digital medium. One way to enable easier creation of digital board games is to create a domainspecific language (DSL) for that purpose. This thesis ... -
Laser Lunacy! A Collaborative and Co-located Multiplayer Game Developing a Tool for Children to Practice Collaboration
(2020-10-30)The development and spread of digital platforms have led to many new phenomena. Many of them positive, but many of them also negative. One such negative phenomenon is the increasing amount of time that children spend on ... -
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 ... -
Lollipop - A general purpose, functional programming language with linear types
(2016-11-14)This project designs and implements a general-purpose functional programming language with linear types, called Lollipop. The purpose is to investigate how linear types can be a part of modern programming languages. The ... -
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 Reducing the Effort of Conducting Systematic Reviews in SE
(2015-05-05)Objective : To investigate whether machine learning and text-based data mining can be used to support the primary studies selection process and decrease the needed efforts in systematic reviews conducted in the context ... -
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 ... -
Managing Software Development in a Small Non-IT Company – A Case Study
(2023-08-03)We have done a case study on a small sheet metal construction company in Sweden that is developing their own software that will be beneficial for their business. We interviewed staff from different roles in the company and ... -
Mapping Reference Architecture on Third Party Mobile Devices - a Case Study from Volvo IT
(2012-08-06)The increasing demands on using mobile technologies, leads to the raise of lacking the unstructured mobile applications. Some companies have introduced guidelines and standards within their organizations to reduce the ... -
Market Driven Requirements Engineering Strategy for Startups
(2019-11-12)This report investigates the concept of requirements engineering in startups. There are well known best-practices in requirements engineering in software engineering domain for large businesses, but there is a lack of ... -
Maskininlärningsmetoder tillämpade på StarCraft 2 - En undersökning av reinforcement och imitation learning
(2020-10-29)Inom artificiell intelligens, som kontinuerligt utvecklas, har maskininlärning tagit en central roll. Medan regelbaserad AI varit tillräcklig för att lösa grundläggande uppgifter behöver dagens utmaningar mer avancerade ...