Faculty of Computing

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4202

Browse

Filters

2019 - 201912020 - 20211

Advanced Search

Filter by

Settings

Author: search.filters.author.Jayawardena, CSubject: search.filters.subject.Artificial Intelligence

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Artificial Intelligence Based Smart Library Management System
    (IEEE, 2021-12-01) Jayawardena, C; Reyal, S; Kekirideniya, K. R; Wijayawardhana, G. H. T; Rupasinghe, D. G. I. U; Lakranda, S. Y. R. M
    The concept of a smart library system is to operate in a library with minimal human intervention. The proposed system handles basic library functions such as issuing books, returning books, reserving books, collecting late return fines, antitheft detection, and managing booking inventory using IoT technologies such as RFID and Raspberry Pi. The first key criterion is shelves management, which provides a unique key and uses RFID technology to identify and arrange the books. The succeeding category is providing users with book recommendations by penalizing hidden layer activations to encourage only a few nodes to activate when a single sample is an input. The dimensionality reduction neural network method was used to select the optimal seating arrangement. The LSTM algorithm will be used to make predictions to provide an efficient service to library users.
  • Thumbnail Image
    PublicationEmbargo
    Intelligent platform for visually impaired children for learning indoor and outdoor objects
    (IEEE, 2019-10-17) Jayawardena, C; Balasuriya, B. K; Lokuhettiarachchi, N. P; Ranasinghe, A. R. M. D. N
    Using Artificial Intelligence and Computer Vision to assist Visually Impaired personal has been a topic discussed in recent years. Many researchers are focusing on combining several technologies to assist said individuals to perform day to day tasks. Although there are already many technologies being used as platforms to help these individuals, focus put on children who are aged in between 6 - 14 years is considerably less. Therefore; in this research we are focusing on how to use latest advancements of Region Based Convolutional Networks (R-CNN), Recurrent Neural Networks (RNN) and Speech models to provide an interactive learning experience to visually impaired children.