• Login
    Search 
    •   eScholar Home
    • Faculty of Science
    • Search
    •   eScholar Home
    • Faculty of Science
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 119

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    Multi-character prediction using attention 

    Baeenh, Mohmmed (2020-01-01)
    We propose a computational attention approach to localize and classify characters in a sequence in a given image. Our approach combines spatial soft-attention with attention regularization and learns “where-to-look” to ...
    Thumbnail

    Evolutionary multi-objective design of autoencoder for compact representation of histopathology images 

    Zaman Farsa, Davood (2021-08-01)
    Deep learning can cope with complex tasks; however, it suffers from the crucial problem of high dimensionality which makes it intractable to learn the patterns and classify the data. Importantly, having a fixed model cannot ...
    Thumbnail

    Echo: reconstructing gameplay sessions for analysis 

    MacCormick, Daniel (2021-04-01)
    We created Echo, a tool designed to help bridge the gap between game analytics and video footage analysis. Echo reconstructs gameplay sessions from recorded data and presents them with their original graphics. A comparative ...
    Thumbnail

    Material properties and mechanical behaviour of large-scale additively manufactured multi-layered steels 

    Tenuta, Eric Michael (2020-03-01)
    Metal Big Area Additive Manufacturing is an additive manufacturing technique based on gas metal arc welding. The systems’ dual nozzle design prints two steels simultaneously; in this study, the test samples are made from ...
    Thumbnail

    Kill switch design pattern for microservice architectures on internet of things devices 

    Lennick, David (2020-12-01)
    Containers and virtual machines are being adopted to develop embedded Linux Internet-of-Things applications. Consumer Internet-of-Things devices have been notoriously insecure due to loss of continued software support. To ...
    Thumbnail

    Extending the relational model with constraint satisfaction 

    Valdron, Michael J. (2021-01-01)
    We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
    Thumbnail

    Deep learning approach to discontinuity-preserving image registration 

    Ng, Eric (2020-05-01)
    Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
    Thumbnail

    Synthesizing play: exploring the use of artificial intelligence to evaluate game user experience 

    Stahlke, Samantha Nicole (2020-03-01)
    Digital games are a complex interactive medium providing a multitude of different experiences. The field of games user research (GUR) is dedicated to investigating and optimizing user experience in games. Such inquiries ...
    Thumbnail

    Radiation response and optical characterization of carbon based thin-films prepared by saddle field plasma enhanced chemical vapor deposition 

    Hegazy, Sameh (2020-09-01)
    Carbon based thin-film materials have been attracting a lot of attention in many research fields due to their unique material properties. Detection of ionizing radiation is an important application that carbon and diamond ...
    Thumbnail

    JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback 

    Askari Firoozjayi, Bahare (2020-12-01)
    Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ...
    • 1
    • 2
    • 3
    • 4
    • . . .
    • 12

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of eScholarCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Discover

    AuthorCollins, Christopher (5)Bradley, Adam James (2)Hinrichs, Uta (2)Abed jooy Divshali, Aref (1)Ahmad, Rana (1)Ahmadi Najafabadi, Marzieh (1)Ahmed, Mohammed (1)Alghamdi, Taghreed (1)Aminpour, Azad (1)Anderson, Eric (1)... View MoreSubjectDeep learning (8)Machine learning (8)Water quality (5)Human-computer interaction (4)Optimization (4)Proteomics (4)siRNA (4)Artificial intelligence (3)Biophysics (3)Fish (3)... View MoreDate Issued2021 (46)2020 (33)2022 (31)2023 (9)Has File(s)Yes (119)

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV