Theseus - Selaus asiasanan mukaan "deep learning"
Viitteet 41-60 / 100
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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 ... -
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 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 recognition techniques & challenges
(2024)Facial recognition technology has quickly become a critical component of today's security, authentication, and social networking systems. This study presents various face recognition techniques and discusses the challenges ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Finetuning and Improving Prediction Results of LLMs Using Synthetic Data
(2024)The Metropolia University of Applied Sciences initiated a project intended to enhance its Moodle platform with an AI-powered plugin, designed to improve the educational process for educators. Central to this initiative is ... -
Food Waste Prediction in Grocery Stores : time series forecasting by deep learning
(2022)Food waste has becoming an increasingly important problem globally. Source of waste derives from supply chain, food manufacturing, household, retail stores etc. This thesis focuses on the food waste problem in retail ... -
Forecasting inventory demand for a semiconductor manufacturer : a case study using machine learning and other methods applied to time series data
(2023)We have witnessed years where semiconductor scarcity has been repeatedly reported in mass media as a major threat for several industries supplier chains causing limitations in production of goods and indeed prices to rise ... -
Gender biases in AI - Mitigation strategies contributing to fairness
(2024)Humanity is entering the age of digitalisation, marked by rapid advances in technologies such as AI. In the midst of this transformation, ensuring gender equality and fairness in the digital sphere is paramount. Traditional ... -
GeoAI and cloud technology in Kerava municipality
(2024)This thesis examines how the municipality of Kerava, Finland, is integrating geographic information systems (GIS) and artificial intelligence (AI) through cloud technologies to improve pipeline management systems. The ... -
Glaucoma in the era of AI : Exploring the current state, challenges and opportunities of AI-driven solutions in glaucoma care
(2024)Artificial intelligence (AI) is widely considered nowadays as one of the most innovative technologies of the 21st century, set to revolutionize every existent industry and transform the way how we live. AI have also been ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
How AI can help forecasting in purchasing
(2024)Since the industrial revolution, there has been notable progress in technological innovation, leading to the transformation of many manual tasks and processes that had previously been limited by human physical capabilities ... -
How Artificial Intelligence (AI) Can be Utilized for the Competitive Advantage of an International Luxury Hotel?
(2023)We live in a world where technology drives business in all industries. It is safe to say that almost every industry uses technology in some shape or form. The hospitality industry is no exception. Artificial Intelligence ... -
Impact of synthetic dataset on the accuracy of YOLO object detection neural network
(2024)Opinnäytteessä selvitetään miten automaattisessa prosessissa generoitu synteettinen kuvamateriaali vaikuttaa objektintunnistusneuroverkon tarkkuuteen. Synteettinen kuvamateriaali tuotetaan generatiivisen neuroverkon ... -
Inappropriate content classification: Natural Language Processing
(2023)The main objective of this work was to investigate the effectiveness of various Natural Language Processing (NLP) techniques in processing and analyzing text data. The study focused on identifying and detecting toxic ... -
Integrating Open Source Technologies: Robot control with LinuxCNC, AI, and EtherCAT Integration
(2023)This thesis is dedicated to exploring novel approaches in utilizing the Festo iCIM 3000 robot within the LinuxCNC framework and incorporating Artificial Intelligence. The aim was to establish a basic framework for a Robotic ... -
Interactive language learning application using artificial intelligence
(2024)This thesis explores the convergence of artificial intelligence (AI) and language learning through the development of a mobile application. The application employs AIdriven image captioning to recommend expressions and ... -
Large Language Models and business applications in an R&D environment
(2024)The subject of this Thesis is usage of Generative AI and in particular Large Language Models (LLMs) within the R&D department of Mirka Power Tools. The research problem is to explore if R&D departments can improve productivity ... -
Laser-induced breakdown spectroscopy spectra analysis with deep learning
(2022)As the prices of equipment suitable for laser-induced breakdown spectroscopy (LIBS) have come down, more research and applications are being implemented with LIBS. One of the improvements that could be made in LIBS is the ...

















