"machine learning" - Selaus asiasanan mukaan Metropolia Ammattikorkeakoulu

    • A Deep Study of Artificial Intelligence : Machine Learning in the Browser using TensorFlow 

      Islam, Md. Foyezul (2021)
      Artificial intelligence is also known as AI is a form of unnatural intelligence that is programmed to complete a specific task. In today's age, the rapid advancement of artificial intelligence and machine learning technologies ...
    • Agnet Object-Detection and Alert System with TensorFlow-Serving and Agnet-API 

      Igbinidu-Uwuigbe, Augustine (2022)
      Recently, Machine Learning has played a major role in the field of science and technology. Object detection in Computer vision systems has gained a lot of use in many industries and is still being developed for many use ...
    • AI based solutions in computed tomography 

      Kuru, Joonas; Pakarinen, Tiina (2021)
      Tekoäly on nopeasti kasvava ja kehittyvä ala ja koska tietokonetomografiakuvantamista käytetään paljon kaikkialla maailmassa, halusimme selvittää, millaista käyttöä tekoälyllä on TT:ssä. Teimme kirjallisuuskatsauksen ...
    • AI Facial Recognition System 

      Ahmadli, Ogtay (2022)
      Nowadays, facial recognition is one of the widely used categories of biometric security that distinguish itself by its security and speed from other categories such as fingerprint recognition and eye retina or iris ...
    • AI summarizer assistant 

      Diaz Diaz, Eliecer (2021)
      This thesis was done in cooperation with the Joint United Nations Program on HIV/AIDS UNAIDS. The mission of UNAIDS is to inspire the world in achieving universal access to HIV support. UNAIDS collects data from 193 United ...
    • AI-Based Welding Quality Detection 

      Alzayed, Abdul Aziz (2021)
      Artificial Intelligence (A.I.) is a multidisciplinary field whose goal is to automate activities that presently require human intelligence. Recent successes in A.I. include computerized medical diagnosticians and systems ...
    • Application for Detecting Maliciousness in Text Input 

      Gellin, Jon (2022)
      Tämän insinöörityön tavoite oli luoda sovelluspohjainen ratkaisu tukemaan kyberrikollisuuden vastaista kamppailua. Insinöörityö tutkii erilaisia ratkaisuja tekstin haitallisuuden tunnistamiseen sekä selainpohjaisen sovelluksen ...
    • Apply Reinforcement Learning in AWS DeepRacer 

      Mai, Nhan (2022)
      Reinforcement learning is a machine learning algorithm that has the potential to aid in the development of an AGI system. Among the various types of machine learning algorithms, RL is unique in that it explores the environment ...
    • Artificial Intelligence application: Categorize route and non-route given predefined route 

      Nguyen, Mai Vinh (2020)
      The purpose of this final year project is to create an Artificial Intelligence application to study the possibility of using Neural networks to categorize route points based on predefined routes. The information can be ...
    • Artificial Intelligence in ERP 

      Haider, Lutful (2021)
      Artificial Intelligence is an important field of computer science that is emerging into a different business. As it is a complex and broad concept, it is important to know what AI is and how it is integrated into various ...
    • Assessing Usability of Large Language Models in Education 

      Huovinen, Leo (2024)
      The aim of the final year project was to investigate the potential of utilizing Large Language Models (LLMs) in automating and enhancing the process of curriculum development. The project was carried out through the ...
    • Augmented Reality for Exercises for Elderly People 

      Zhu, Kun (2020)
      Augmented Reality (AR) physical training may have advantages over regular exercise training among elderly people. So exercise with AR tools can help to decrease the chance of falling and increase personal health. However, ...
    • Automatic Music Genre Classification - Supervised Learning Approach 

      Tulisalmi-Eskola, Johanna (2022)
      Modern digital music libraries are huge. Searching and retrieving requested piece of music is challenging. Genre is used for identifying music. A computer utilising Machine Learning (ML) model can automatically classify a ...
    • Behaviour Recognition in an Elevator Using Kinect Sensor 

      Phan, Van Hoang Giang (2021)
      Increasing population and urbanization has led to widespread use of elevators in buildings. There is always a concern associated with the safe usage of elevators. Manual video monitoring is often slow and ineffective when ...
    • Breaking Barriers to Computer Accessibility: A Wireless Mouse System for People with Hand Disabilities 

      Malalasekara, Sasikala Anuradha Peiris (2023)
      This thesis proposes a wireless mouse system designed to enhance computer accessibility for individuals with pointer device use restrictions. The system combines an accelerometer and optical sensor technologies with an ...
    • Building a Roadmap for Striking Collaboration in Medical R&D for an IT Solution 

      Francisco, Vasquez Parada (2021)
      The objective of this thesis was to build a roadmap for striking collaboration in medical R&D for an IT solution. This thesis started with analyzing the previous experiences in medical R&D collaboration projects done at ...
    • Building Topic Modelling on Theses Abstracts Data : Thesis Supervisors Finder for Students 

      Vu, Mai (2021)
      This thesis focuses on topic modeling on theses data from Finnish Universities of Applied Sciences students collected from Theseus. The main objective of this thesis is to extract valuable information and create useful ...
    • Capacity Monitoring Using Object Detection Algorithms 

      Mikkonen, Tiia (2021)
      Due to the COVID-19/coronavirus pandemic, which started December 2019, in China, many governments around the global have imposed restrict lockdowns across the global along with mask mandates to slow down the spread of the ...
    • Classification of invasive species in Finland with deep learning 

      Bahrami, Ali (2021)
      In this project, an application was developed in order to classify whether a plant is lupine, hogweeds or impatiens, based on the image of the plant. These plants are considered as invasive species in Finland. The first ...
    • Combining GPS and sensors to determine mode of transportation 

      Chandrasegaran, Gajalakshan (2023)
      The purpose of this thesis project was to identify different modes of transportation by making use of GPS data obtained from mobile devices, in contrast to other research of a similar nature. GPS-based methods use the ...