Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 161-180 / 450
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Documentation on the emergence, current iterations, and possible future of Artificial Intelligence with a focus on Large Language Models
(2023)This thesis presents a comprehensive exploration of artificial intelligence and large language models, discussing their historical evolution, definitions, and contemporary significance. The research delves into the ... -
Dog/cat image recognition with React, Flask, and TensorFlow
(2022)Data plays an essential role in modern life. The real world produces billions of bytes of data per day, and the 90 percentage of data in 2019 is double the amount of data last two years (Statista Research Department. 2022). ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Driving trainer with ML-Agents
(2023)Artificial intelligence has witnessed remarkable progress in recent years, with machine learning being a crucial milestone in transforming the field. Reinforcement learning, a model that trains an algorithm through trial ... -
Dynamic pricing of airline ancillaries: co-creating a machine learning model to price ancillaries in the case company
(2020)The purpose of this study was to improve the case company’s ancillary pricing by developing a machine learning model to price ancillary products. The case company is a medium sized network airline that operates over 100 ... -
ECG Arrhythmia classification using Deep Convolution Neural Networks in Transfer Learning
(2020)Electrocardiogram (ECG) is a health monitoring test which assists clinicians to detect abnormal cardiac activity based on heart’s electrical activity. Early classification of ECG signals is important towards the possible ... -
Edge MLOps framework for AIoT applications
(2020)Recent years witnessed a boom in IoT devices resulting in big data and demand for low latency communication giving rise to a demand for 5G Networks. This shift in the infrastructure is enabling real-time decision making ... -
Effectiveness and universality of artificial intelligence implementation in modern marketing : media and cosmetics industry
(2021)The thesis work was aimed at proving the effectiveness and universality of artificial intelligence implementation in modern marketing. Many entrepreneurs questioned artificial intelligence marketing effectiveness and many ... -
Energy Consumption Prediction Using Recurrent Neural Network (LSTM) : Multivariate Time Series forecasting
(2023)Energy consumption prediction plays a crucial role in optimizing resource allocation and ensuring efficient energy management. This thesis delves into the realm of multivariate time series forecasting, with a specific focus ... -
Engine 3D and Drawing RPA 3.0
(2022)The thesis is made for System Engineering, which is a group of Wärtsilä Marine Solutions. The intention of this thesis was to re-design the existing Engine 3D and drawing RPA to also store data in a database. The RPA is ... -
Enhancing Access Control : practical implementation of facial recognition technology for entry monitoring and database storage
(2024)According to the American Lost and Found Statistics of 2023, 60% of individuals reported losing an item in the past year, with keys, cell phones, wallets, and sunglasses being the most common. This raises the question: ... -
Enhancing Anti-Money Laundering Strategies Using Artificial Intelligence
(2024)Vaikka tekoälyä on käytetty eri aloilla jo vuosia, rahanpesun torjunta on suurelta osin tukeutunut perinteisiin, sääntöihin perustuviin menetelmiin. Opinnäytetyö tutkii, kuinka rahanpesun torjunnan strategioita voidaan ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Enhancing cloud based software engineering with machine learning
(2024)With the ability to access virtualized resources on demand, cloud computing has developed into a game-changing technology that enables companies to adapt to changing market conditions and grow their infrastructure through ... -
Enhancing Customer feedback processing with Machine Learning in Microsoft Azure
(2022)Text Classification and Natural Language Processing (NLP) is developing fast, and all the applications are rapidly evolving, GPT-3 emerged in the field just last year and there are some open-source options in the field, ... -
Enhancing marketing through artificial intelligence and analytics
(2021)The aim of this thesis is to study the extremely current phenomenon of artificial intelligence and how it is utilised in marketing. This study will be conducted with company X as the commissioning company and the author ... -
Enhancing Organizational Resilience in the Air Transport Industry Through the Adoption of Emerging Technologies: A Case Study of the Middle Eastern Airlines
(2024)The research investigated ways Middle Eastern Airlines strengthens their organizational resilience in the air transport industry through emerging technologies. The air transport industry has undergone several transformations ... -
Enhancing Tetris Gameplay with Deep Reinforcement Learning
(2024)This work's principal purpose was to create an artificial intelligence solution for the well-known Tetris game, which was totally constructed in C++ since there aren't many online resources in this subject. Furthermore, ... -
Enhancing Wind Energy Management: predictive modelling and data analysis insights
(2024)Wind power output prediction was researched to optimize energy management and sales in the renewa-ble energy sector. The primary objective was to develop accurate predictive models for forecasting wind power output over ... -
Ensemble Machine Learning model : bootstrap aggregation method on Kaggle Music and Mental Health dataset for the integration of ML model within the music recommendation app
(2023)Music has been shown to have both positive and negative effects on the human experience throughout history. As civilization advances, a sizable and diverse population can now access music, regardless of their age, sex, ... -
Evaluation of chatbots used in healthcare
(2022)Ubiquitous high-quality healthcare is one of the main goals of humanity. Delivery of adequate healthcare can be obstructed by many hurdles, some of which could be overcome by applying advances in technology. Artificial ... -
Evaluation of pre-trained object detection models for the use in the SURE Project
(2021)The main purpose of this study was to investigate as many object detection models as possible in order to evaluate their efficiency and determine a suitable model to be used in the SURE project. This model would have then ...

















