Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 181-200 / 450
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Evolution of Yolo algorithm and Yolov5: The State-of-the-Art object detention algorithm
(2021)Object detection is one of the primary tasks in computer vision which consists of determining the location on the image where certain objects are present, as well as classifying those objects. In 2015, the YOLO (You Only ... -
Examination of air pollutant concentrations in Smart City Helsinki using data exploration and deep learning methods
(2021)Air quality has become a major concern for most of the cities around Europe due to rapid urbanization and industrialization. Smart City is an initiative to solve such problems by integrating information and communication ... -
Experimental evaluation of ship detection using U-Net with various backbone networks
(2022)The growth in global trade has led to the growth in global ship traffic. Maritime security, safety and tracking has become more critical. Organizations and governments globally are developing applications to improve maritime ... -
Explainability of time series models
(2022)The lack of interpretability of machine learning models is a drawback of their use. To better understand how the model works, how data affects its performance, how the model could be improved, and to gain trust in the ... -
Exploration of a trading strategy system based on meta-labeling and hybrid modeling using the SigTechPlatform.
(2021)The thesis aims to study a machine learning (ML) supported trading system. The methodology is based on a process that is utilizing meta-labeling, thus provides labels for a secondary model, where losses and gains are labeled ... -
Exploring AI-driven Use Cases in Integration Platform Red Hat
(2024)In today's rapidly evolving digital landscape, integrating artificial intelligence (AI) technologies into platform development is crucial for enhancing efficiency and fostering innovation. This research delves into ... -
Exploring Anomaly Detection in Building Automation Through Machine Learning Techniques
(2024)The purpose of this thesis was to analyze and improve anomaly detection for ventilation processes in building automation. The final goal of the thesis was to develop an anomaly detection method that was more accurate than ... -
Exploring Machine Learning in Higher Education Industry : Student Performance Prediction
(2021)Machine learning (ML) is utilized constantly in various industries because its possibility to provide innovative solutions to different stakeholders of an organization. ML is utilized in higher education industry to provide ... -
Exploring Machine Learning Models for Detection of Human Eye Blink : brain-computer-interface and machine learning
(2023)Brain-computer interface (BCI) technology offers promise for enriching human-computer interactions across diverse domains. This thesis focuses on blink detection within BCI systems and their potential applications. The ... -
Exploring Machine Vision in Autonomous Mining Vehicles
(2024)This study explores the application of machine vision in mobile robotics using Jetson Nano, ROS(Robot Operating System), RTAB-Map(Real-Time-Appearance-Based Mapping), and RVIZ to create a fully autonomous intelligent ... -
Exploring Medical Image Data Augmentation and Synthesis using conditional Generative Adversarial Networks
(2022)Obtaining healthcare data such as magnetic resonance imaging data for medical diagnosis is expensive and time-consuming. In this thesis, a method using generative adversarial networks is explored for synthesizing data of ... -
Exploring the Artistic Potential of Neural Style Transfer
(2024)This thesis explores the creative potential of Neural Style Transfer (NST), an advanced deep-learning method for producing new visuals. Combining material from one image with the creative approach of another well-known ... -
Exploring the correlation between social media language patterns and depression : a sentiment analysis approach
(2024)The advancement in social media technology has provided modern communication platforms through which the users can express their thoughts and emotions towards a particular event. The increase in mental health issues are ... -
Exploring the Link Between Artificial Intelligence and Circular Economy in the Fashion Industry: an example of Lennol Oy
(2024)Converting the prevailing linear economy established during the Industrial Revolution to a circular one is a challenging endeavor. This transition involves overhauling current production and consumption practices, which ... -
Express Package Classification Using Object Detection
(2023)The main aim of this project is to solve the problem of sorting and processing of express packages. With the development of the e-commerce process, there has been a gradual increase in the number of people using online ... -
Face mask detection in real time using python
(2022)The aim of the thesis was to develop a Face Mask Detection system. For face mask identification, the thesis examines the use of Python programming with Deep Learning, TensorFlow, Keras, and OpenCV. The classifier uses the ... -
Face mask wearing detection with neural network
(2021)Insinöörityön tavoitteena oli kehittää kasvomaskien käytön havainnointiin tarkoitettu ohjelma, jota voitaisiin käyttää COVID-19-pandemian etenemisen monitorointiin. Muita käyttötarkoituksia voisi olla kulunvalvonta esimerkiksi ... -
Factors influencing machine learning application procurement in healthcare organisations
(2023)In the evolving landscape of healthcare, the advent of artificial intelligence (AI) has ushered in a transformative era, particularly with the prominence of machine learning (ML) applications. This research delves deep ... -
Fake reviews in Chinese e-commerce : the case of wine
(2022)The growth of the Chinese wine market has attracted the interest of wine exporters around the world. However, the Chinese market is very large and business conditions vary widely between regions. E-commerce appears to be ... -
Federated Backdoor Attacks against Speech Recognition
(2024)This thesis explores and simulates federated learning, specifically focusing on applying adversarial attacks against input data to assess their impact on training performance. In the context of the rising importance of ...



















