Institutional-Repository, University of Moratuwa.  

Browsing Articles authored by UoM staff (Publish in scimago's Q1 journals) by Subject "machine learning"

Browsing Articles authored by UoM staff (Publish in scimago's Q1 journals) by Subject "machine learning"

Sort by: Order: Results:

  • Forest sound classification dataset: FSC22 
    Bandara, M; Jayasundara, R; Ariyarathne, I; Meedeniya, D; Perera, C [Article-Full-text]
    The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques. Forest ESC is one use case of ...
  • Highly sensitive quantitative phase microscopy and deep learning aided with whole genome sequencing for rapid detection of infection and antimicrobial resistance 
    Ahmad, A; Hettiarachchi, R; Khezri, A; Ahluwalia, BS; Wadduwage, DN; Ahmad, R [Article-Full-text]
    Current state-of-the-art infection and antimicrobial resistance (AMR) diagnostics are based on culture-based methods with a detection time of 48-96 h. Therefore, it is essential to develop novel methods that can do real-time ...
  • A hybrid ontology-based information extraction system 
    Gutierrez, F; Dou, D; Fickas, S; Wimalasuriya, D; Zong, H [Article-Full-text]
    Information Extraction is the process of automatically obtaining knowledge from plain text. Because of the ambiguity of written natural language, Information Extraction is a difficult task. Ontology-based Information ...
  • Sensing eating events in context: A smartphone-only approach 
    Bangamuarachch, W; Chamantha, A; Meegahapola, L; Ruiz-Correa, S; Perera, I; Gatica-Perez, D [Article-Full-text]
    While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper ...