Selaus asiasanan mukaan kokoelmassa Åbo Akademi
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3D CN-LSTM for prediction of medical nanoparticle properties
(2021)Cancer is an increasing and already one of the most common causes of deathin developed countries. One way to fight cancer tumours is with targeted anti-tumour drug delivering nanoparticles (NPs). NPs can be ... -
A Study on Automatic License Plate Recognition
(2022)Automatic license plate recognition, ALPR, is the process of detecting license plates, and recognizing the characters, present in any given image. ALPR can be applied in many situations to reduce the requirement for manned ... -
A Systematic Mapping Study on Self-Adaptation SDN based Iot Networks
(2023)Background: The Internet of Things (IoT) has led to widespread adoption of software-defined networking (SDN) to manage IoT networks. However, challenges like scalability, performance, and security necessitates self-adaptation ... -
AI-Assisted Lead Scoring
(Åbo Akademi, 2019)Companies often gather a tremendous amount of data, such as browsing behavior, email activities and other contact data. This data can be used to estimate a contact's purchase probability using predictive analytics. The ... -
Applicability of TinyML for maintenance predictability
(2023)With the vast amount of data collected today and in the future, it is possible to see that there is plenty that can be done with the data with the help of Machine Learning. Both on more conventional computers with operating ... -
Applying soft computing for effort estimation in agile software projects - Literature review
(2022)Effort estimation is a challenging and essential part of any software development project. For this reason, the subject has been extensively researched and several techniques have been developed to facilitate the work. For ... -
Assessing accuracy of machine learning-based protein structure prediction model with molecular dynamics stabilization simulations
(2023)Med dagens teknik är det möjligt att syntetiskt skapa material med önskade egenskaper. Kärnan i den här avhandlingen är digital design av material. Med hjälp av bioteknik är det möjligt att bygga godtyckliga proteiner med ... -
Automated annotation scheme for extending bounding box representation to detect ship locations
(2023)Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located ... -
Automatic identification of ischemia using lightweight attention network in PET cardiac perfusion imaging
(2023)Ischemic disease, caused by inadequate blood supply to organs or tissues, poses a significant global health challenge. Early detection of ischemia is crucial for timely intervention and improved patient outcomes. Myocardial ... -
Creating Unique Gameplay Scenarios Using Natural Language Generation
(2022)Language and text generation is a complicated task for computers, there is a lot of nuances and context required to understand a sentence. For decades natural lan-guage processing has been a field of study, for computers ... -
Cryptocurrencies’ Prices Discovery Through Machine Learning Algorithms : Bitcoin and Beyond
(2023)The evolution of cryptocurrencies has emerged as a fundamental shift in the financial landscape, with price discovery being an area of intense interest and complexity. The thesis titled “Cryptocurrencies’ price discovery ... -
Curating Glioma Tumors for Classification Methods in Machine Learning
(2021)Glioma is a cancer which begins in the glial cells within the brain. The presence of glioma tumors within the brain can cause a wide variety of symptoms, e.g. seizures, headaches and nausea. The analysis of these tumors ... -
Customer segmentation for small and medium-sized enterprises with machine learning algorithms
(2023)The purpose of this thesis was to study how machine learning algorithms could be utilized to improve the cost efficiency of cold calling done by PT-design Oy. The aim was to find out which machine learning algorithm would ... -
Data Pipelines and Edge Analysis in Engine Installations
(2021)In recent times, increasing processor power as well as more and new machine learning technology has led to increased interest in collecting and analyzing data, a trend which has come to be known as the internet of things ... -
Deep learning approaches for maritime ship detection from inshore and offshore imagery
(2022)Maritime surveillance and situational awareness are of topical interest but require massive amounts of human labour if done manually in a traditional setting. The human factor can make this process also highly expensive ... -
Demand Forecasting in Retail : A Comparison of Time Series Analysis and Machine Learning Models
(2021)Having an accurate forecast of the upcoming demand is of utmost importance to a retail company, as it helps the retailer plan the day-to-day activities and optimize the supply chain. At the same time, retailers also gather ... -
Designing, Developing, and Implementing a Personalized Gamified Goal-setting Mechanism for a Sleep-tracking Mobile Application
(2023)Goal setting is a commonly employed game element and an implicit effect of gamification. Research in goal-setting theory has found specific and difficult goals to increase the effectiveness of mobile health interventions. ... -
Development and use of an internal chatbot to support sales and customer service
(2023)Rapid technological development has brought many different new-age digital tools to facilitate daily human life. One such tool can be considered chatbots. Chatbots are artificial intelligence-powered programs that are ...Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
Evaluating Performance of Generative Models for Time Series Synthesis
(2023)Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation ...