"deep learning" - Selaus asiasanan mukaan Centria-ammattikorkeakoulu

    • Brain image classification using deep convolutional neural networks and transfer learning 

      Shakib, Md Nazmul Hasan (2023)
      The goal of this thesis research is to automate brain image classification by using Deep Convolutional Neural Networks and Transfer Learning. It aims to improve classification accuracy to help in medical diagnosis and ...
    • Face mask detection in real time using python 

      Suzon, Abdul Karim (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 ...
    • GeoAI and cloud technology in Kerava municipality 

      Al-Janabi, Mundher (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 ...
    • Real-time emotion detection using python 

      Tran, Vu Thuy Vy (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 ...
    • Sentiment analysis of consumer tweets and reviews of Finnish retail companies 

      Kober, Md Foysal (2024)
      The focus of this work has been on the defining of the approach through which sentiment analysis has been performed over the retail market of the Finnish. The reason behind the performing of the work is to understand the ...
    • Yellow rust disease detection from wheat images 

      Ali, Zeeshan (2024)
      Yellow rust, a devastating fungal disease caused by Puccinia striiformis have been identified as a major hindrance to wheat production to millions of metric tons being lost annually, in turn exacerbating food insecurity. ...