Lakehead University Library Logo
    • Login
    Browsing by Advisor 
    •   Knowledge Commons Home
    • Browsing by Advisor
    •   Knowledge Commons Home
    • Browsing by Advisor
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    quick search

    Browse

    All of Knowledge CommonsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDisciplineAdvisorCommittee Member

    My Account

    Login

    Browsing by Advisor

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Sort by:

    Order:

    Results:

    Now showing items 1-4 of 4

    • title
    • issue date
    • submit date
    • xmlui.ArtifactBrowser.ConfigurableBrowse.sort_by.author
    • ascending
    • descending
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
      • Thumbnail

        Advanced deep regression models for smart operation of the oil and gas industry 

        Hosseini, Siavash (2023)
        The first industrial revolution in the early 18th century largely exploited steam power to replace animal labor. Since then, there has been rapid development in industrial operations. Now, the world has come to the brink ...
      • Development of an advanced thermal imaging-based human fall detection system 

        Silver, Christopher (2024)
        Falls represent a significant risk to the elderly population, often leading to severe injuries or fatalities. Automatic fall detection systems (FDS) are critical for mitigating these risks; however, existing solutions, ...
      • Thumbnail

        An efficient CNN-BiLSTM model for multi-class intracranial hemorrhage classification 

        Genereux, Kevin (2023)
        Intracranial hemorrhage (ICH) refers to a type of bleeding that occurs within the skull. ICH may be caused by a wide range of pathology, including, trauma, hypertension, cerebral amyloid angiopa- thy, and cerebral ...
      • Thumbnail

        An improved semi-supervised learning framework for Image semantic segmentation 

        Jahan, Nusrat (2024)
        Traditional supervised learning methods depend heavily on labeled data, which is both costly and time-intensive to acquire. Self-supervised learning approaches present a promising alternative to supervised learning, ...

        Lakehead University Library
        Contact Us | Send Feedback

         

         


        Lakehead University Library
        Contact Us | Send Feedback