Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 341-360 / 450
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Real-Time Classification of Traffic Signs with Deep Learning
(2021)Problems are commonly encountered in image classification tasks within the field of computer vision. Over the past few decades, such problems have increasingly been treated with machine-learning techniques and, in particular, ... -
Real-time emotion detection using python
(2023)The thesis aims to learn more about the machine learning model and develop the model to explore the use of computer vision techniques using Python and Convolutional Neural Networks (CNNs). By developing an CNNs model to ... -
Real-time fashion items classification using TensorflowJS and ZalandoMNIST dataset
(2020)The last decade has marked a significant growth in Deep Learning, driven mainly by the rapid development of Graphics Processing Unit (GPU) which provide sufficient computing power for deep neural network training. However, ... -
Real-Time Masked Face Recognition Using Machine Learning
(2020)An enormous number of robust face recognition systems has been around to help authorities and commercial companies to recognize people. While these systems work very well, a new problem came from nowhere that forced people ... -
Real-time object detection on edge devices
(2022)Työn tavoitteena oli tutkia eri olemassa olevien reunalaskentalaitteiden suorituskykyä huippuluokan kohteentunnistusmalleilla. Kolme laitetta eri valmistajien reunalaskentakiihdyttimillä valittiin vertailuun, joita olivat ... -
Real-time solution to recycling, supercharged with machine learning
(2022)Within the past few years, machine learning has been rapidly growing and has become the key element in a wide variety of departments, including health care, science, technology, finance and many more. In parallel, new tools ... -
Recognition and classification of mechanical tools through machine learning
(2023)This thesis presents a study on recognizing mechanical tools by classification through machine learning. The research is to develop a model that can accurately classify several mechanical tools based on their physical ... -
Reinforcement learning : learning from experience
(2021)Vahvistusoppiminen on koneoppimistapa, jonka avulla voidaan opettaa ohjelmistoagentteja tekemään loogisia päätöksiä, jotka perustuvat aikaisempiin päätöksiin. Opinnäytetyön tavoitteena oli tutkia vahvistusoppimisen ... -
Reinforcement Learning for Financial Portfolio Management: A study of Neural Networks for Reinforcement Learning on currency exchange market
(2021)Portfolio management is the process of continually reallocating funds into financial instruments, aiming to maximize the return. This paper presents a Reinforcement Learning framework where an agent interacts with the ... -
Reinforcement learning with AWS DeepRacer
(2021)The main purpose of this project was to take a look at reinforcement learning with AWS DeepRacer by providing good policies to use when training reinforcement learning models. Another goal was to analyse model performance ... -
Reliable Fleet Analytics for Edge IoT Solutions
(Iaria xps press, 2020) -
Remote Digital Services
(2022)The Bachelor’s thesis was commissioned by the Agreements Proposal Management department within Wärtsilä, Energy Business. This thesis is about Wärtsilä’s remote digital services called Operational Support and Expert Insight. ... -
Report on Machine Using Chat GPT
(2024)The project shows how using ChatGPT, a smart language tool, can change how to manage machines in industries. An application makes summaries of daily machine reports automatically, which helps industries stay up to date ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Reproducible Machine Learning Models and Experiments : A platform for hosting and managing machine learning projects
(2023)This thesis concerns finding suitable open-source tools and a platform for managing and hosting machine learning projects. The platform should keep track of the different versions used of the code, datasets, and hyperparameters ... -
Research and development process of A.I. based LED-analysis tool for Bittium CI-laboratory
(2023)Various industries from financial to heavy industry use machine learning to provide innovative solutions to a variety of purposes. Test automation and device functionality verification, an area where machine learning is ... -
Researching and Testing BirdNET, a Bird Detecting Algorithm
(2024)Tässä opinnätetyössä keskityttiin BirdNETin käyttöön, joka on koneoppimisella luotu algoritmi lintujen tunnistamiseen niiden tuottamista lauluista ja äänistä, ja sen tehokkuuteen. Sille pohdittiin myös käyttötarkoituksia, ... -
Researching Neural Network and Applying for Secret Key Exchange
(2021)While cyber-attacks have been increasing through the years, the key exchange protocols, for example, Diffie-Hellman key exchange protocol implementation, remain inadequate in terms of security that attackers can exploit ... -
Retrievimage - online image retriever
(2023)The purpose of this project was to provide a solid foundation of knowledge on image retrieval systems, including necessary theoretical definitions, components of such applications, and basic concepts of image retrieval. ... -
Right knowledge for the right user at the right time
(2021)A globally operating software product company provides online support services such as user assistance and discussion forum for its B2B customers in the building construction industry. Its vision for 2025 states that online ... -
Risk profiling patients with left atrial appendage closure using the K-Modes algorithm
(2022)The high incidence of stroke and bleeding in the elderly is increasingly recognised, and LAAC is one of the best treatment options to prevent atrial fibrillation. A growing number of cardiac research centers have established ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad

















