Selaus tekijän mukaan kokoelmassa 113 Tietojenkäsittely ja informaatiotieteet
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3D CN-LSTM for prediction of medical nanoparticle properties
Sustar, Vid (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 Comparative Study of YOLOv5 and YOLOv7 Modifications for Face Detection on a Custom Dataset
Anyim, Amarachi Chetachi (2023)Face detection is a fundamental task in computer vision with applications spanning facial recognition, pose estimation, and human-robot interaction. This thesis presents a comprehensive comparative study of two modified ... -
A COMPARISON OF DATA INGESTION PLATFORMS IN REAL-TIME STREAM PROCESSING PIPELINES
Tallberg, Sebastian (Åbo Akademi, 2020)In recent years there has been an increasing demand for real-time streaming applications that handle large volumes of data with low latency. Examples of such applications include real-time monitoring and analytics, electronic ... -
A Network Model towards Strong Controllability of Biological Networks
Gustafsson, Patric (Åbo Akademi, 2019)In systems biology, we study structures and networks with the goal of achieving an understanding of the system as a whole. The networks we study are often biological networks, say cancer networks. When we understand how ... -
A Study on Recommendation System with Library Data
Satyal, Umesh Raj (Åbo Akademi, 2019)The recommendation is a difficult task in the lack or absence of domain knowledge like facts and information of the item which is the subject of the recommendation. This study presents and compares algorithms used in ... -
A Systematic Mapping Study on Test Automation Approaches for Flight Simulators
Jensén, Linus (2022)Background: Test automation is the practice of running tests automatically for the purpose of improving software quality. This is a field that is used in many kinds of areas. Flight simulators are software and hardware ... -
AI and Game complexity : Game benchmarking by using reinforcement learning
Lillerovde, Olav (Åbo Akademi, 2020)The aim of this thesis is to use different reinforcement learning techniques to produce models that can play video games. The core idea behind reinforcement learning is that an AI can learn to play a game only by exploring ... -
Anonymization of production data to create functioning and useful test environment data
Norrman, Niki (2023)This thesis will investigate different methods to anonymize production data to inject it or parts of it into the test environment. The different methods will be analyzed from different perspectives and some of them will ... -
Automated annotation scheme for extending bounding box representation to detect ship locations
Havryliuk, Oksana (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 Image Annotation Using Transfer Learning on Convolutional Neural Networks
Ek, Rasmus (Åbo Akademi, 2018)Categorizing images in order to create image tags for easy searching is often a manual, and thus time-consuming, process. By utilizing a convolutional neural network to perform image classification, one can automate this ... -
Behavioral Coverage in Black Box Testing Using Generative Models
Methais, Maxime (2023)In the era of Artificial Intelligence (AI), autonomous vehicles are increasingly taking space in everyday life. From autonomous cars to delivery drones, Cyber Physical Systems (CPS) are everywhere, in every field. More ...Embargo 22.8.2024 asti -
Biomedical Text Dependency Parsing with the Neural Turku Parser
Ngo Minh, Thang (Åbo Akademi, 2020) -
Cervical Spine Fracture Detection by Computer Vision
Landais, Aline (2023)A fast detection of spinal fractures is essential to prevent neurologic deterioration or paralysis. However, weak bones make the detection of fractures on scans difficult, impacting especially the health of elderly people. ... -
Co-simulation models for ship power management systems
Fransman, Lucas (2023)The maritime sector plays a crucial role in the global economy. With over 80 percent of the world’s trade by volume transported by sea, the maritime industry plays a critical role in the all more globalised world. However, ... -
COLREG compliant collision avoidance using reinforcement learning
Penttinen, Sebastian (Åbo Akademi, 2020) -
Creation of an Operational Desing Document for the Autonomous Shipping Industry
Huseynzade, Samir (2023)The advancement of Artificial Intelligence technologies has paved the way for the increasing use of autonomous systems in various fields, including air, land, and sea. Maritime is an important domain for applying autonomous ... -
Curating Glioma Tumors for Classification Methods in Machine Learning
Sjöberg, Joel (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 ... -
Customizing an Open Source ERP System
Björkgren, Dan (Åbo Akademi, 2020)At a point in time when the use of computers and software within companies and corporations is ubiquitous there is still reason to question their purpose and validity. The mere use of computers is not enough to enable ... -
DB2 for IBM i Performance
Lundell, Mattias (Åbo Akademi, 2020)The purpose of this master's thesis is to help programmers working with DB2 for IBM i make up-to-date design decisions. Much has changed in the industry in the past 20 years, and sources of informaton on both the Internet ... -
Deep learning approaches for maritime ship detection from inshore and offshore imagery
Winsten, Jesper (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 ...