"artificial intelligence" - Selaus asiasanan mukaan Opinnäytetyöt

    • Comparative Analysis of Pre-Trained Models and Interpolation for Facial Expression Recognition 

      Islam, Md Atikul (2023)
      This study presents a comprehensive examination of facial emotion detection using the FER 2013 dataset. In numerous disciplines, including psychology, human-computer interface, and marketing research, efficient facial ...
    • Comparing Natural Language Models for Software Category Classification 

      Turbin, Ivan (2023)
      The purpose of this thesis is to compare natural language machine learning models to find classification differences in the software category classification field. Software category classification is a text classification ...
    • Comprehensive Study on Sports Technology 

      Zaman, Saadat (2023)
      The aim of this thesis is to explore the technologies used in major sports, from the beginning to their present time. The idea is to understand the science behind the technologies used in sports and hardware implementation ...
    • Custom Object Detection with One-stage Detector 

      Sapkota, Shree (2023)
      Object detection has become a popular topic of discussion in the field of artificial intelligence (AI). Its use and scope have been widening as the influence of AI technology has been rising. The objective of this study ...
    • Data-Driven Innovation: The Potential of Synthetic Data through Generative AI 

      Chan, Chung Yin (2024)
      Data scarcity constitutes a protracted challenge to AI decision-making across data-driven industries. Research has shown that demand for larger training datasets is growing, but the current method for data collection has ...
    • Deep Learning for Toxic Comment Detection in Online Platforms 

      Kikani, Dhruval (2023)
      This research aimed to explore the use of Deep Learning Artificial Neural Networks (ANNs) for toxic comment classification on social media and online forums. The prevalence of toxic interactions on these platforms has ...
    • Detect COVID-19 from Chest X-Ray images using Deep Learning 

      Nguyen, Duc Minh Luong (2020)
      The COVID-19 pandemic has been causing devastating impacts on the well-being of people around the world as well as the global economy. Motivated by the effort of the open source community on collecting the COVID-19 dataset ...
    • Detecting Software License Violations 

      Venäläinen, Pekka (2021)
      User monitoring in a web service is used for numerous purposes. Monitoring can be used for detecting user preferences and habits. Deviations from expected behavior can be detected by observing actions that a user has taken. ...
    • Developing a Digital AI Roadmap for Retail 

      Bangalore Seetharam, Sudhindra (2020)
      This thesis focuses on deriving key business priorities for small and medium-sized retail organizations by formulating a digital AI roadmap that can serve as a starting point to apply AI in their business to stay abreast ...
    • DEXPI and Its Applications in P&ID Drawing 

      Paavilainen, Joel (2023)
      Työn aiheena oli tutkia DEXPI:n (Digital Exchange of Process Information) eri käyttökohteita sekä mahdollisuuksia PI-piirrossa ja sitä, miten niitä voidaan hyödyntää tulevaisuudessa eri sovelluksissa. Tämä opinnäytetyö ...
    • Digital Ethics - The Use of Artificial Intelligence in Medicine 

      Ley, Melissa-Sophie (2020)
      Various retirement homes are already using prototypes of curing robots to help nurses in their daily work. Artificial intelligence is used to analyze medical images regarding different types of cancer. New antibiotics are ...
    • Enhancing Security : Deep Learning Models for Anomaly Detection in Surveillance Videos 

      Karunarathne, Lihini (2024)
      An extensive study on effective methods to detect anomalous events in surveillance videos is presented in this research. An increasing demand for reliable and efficient anomaly detection systems capable of identifying ...
    • Ethics of using AI in healthcare diagnostics : a scoping review 

      Schildt, Miina (2022)
      Introduction: Diagnostic AI systems are providing promising results with accurate output, and they offer a great possibility to ease the problems of insufficient human and financial resources. Diagnostic AI systems use ...
    • Evaluation of Indirect Cost Estimation in the Egyptian Construction Industry 

      Othman, Sherif (2021)
      In construction projects, site overhead costs are an essential component of the contractor's budget as that is what mainly differs a company from another when bidding for a project. The purpose of this research is to reduce ...
    • Exploring Machine Vision in Autonomous Mining Vehicles 

      Hutri, Niko (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 ...
    • Factors influencing machine learning application procurement in healthcare organisations 

      Uravirta, Sampo (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 ...
    • Finetuning and Improving Prediction Results of LLMs Using Synthetic Data 

      Macías, Melany (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 ...
    • Hardening Azure OpenAI Service for Enterprise Usage 

      Ots, Karl (2024)
      Generatiivinen eli tuottava tekoäly on täällä ja se on tullut jäädäkseen. Tässä insinöörityössä tutkitaan tuottavan tekoälyn palveluiden turvalliseen käyttöön suuryritysten kontekstissa. Erityisesti tässä työssä keskitytään ...
    • How Artificial Intelligence is changing the banking sector? 

      Da Costa, Steeve (2018)
      According to the banking sector, the Artificial Intelligence is the new way to innovate and thus create the long-awaited breakthrough by companies in order to differentiate themselves but also by consumers in perpetual ...
    • How to Use ChatGPT for Programming 

      Seikkinen, Ekaterina (2023)
      The main goal of this thesis was to learn how to use ChatGPT for programming and create a mobile application project using an AI language assistant as a help tool. Proper use of ChatGPT in the programmer’s workflow can ...