Articles

  • Dec 9, 2023 | azamsharp.medium.com | Mohammad Azam

    Lately, I have been thinking about the “What-If Architecture”. Most people commonly refer to it as YAGNI (You Aren’t Gonna Need It). I was reading some discussion thread, where a developer was creating a Core Data app using SwiftUI and wanted to display information from the database on the screen.

  • Dec 6, 2023 | azamsharp.medium.com | Mohammad Azam

    Yesterday, I had the opportunity to speak at WomenWhoCode Mobile event. It was a remote event and well attended. I spoke about SwiftUI architecture best practices. When I was covering Core Data I mentioned that you should use property wrappers as they are optimized to work with SwiftUI. Same is true for property wrapper in SwiftData. During this time an interesting question was raised. An attendee asked what if you want to change the data access layer in the future.

  • Oct 23, 2023 | arthroscopytechniques.org | Ian Savage-Elliott |Matthew T. Kingery |Mohammad Azam |Dylan Lowe

    AbstractChondral and osteochondral lesions of the knee are a commonly occurring pathology that can pose challenges to the treating surgeon. For the appropriate cartilage injury, autologous cell–based articular cartilage repair techniques have shown promising results. However, these treatments traditionally require 2 separate surgical procedures.

  • Jul 9, 2023 | betterprogramming.pub | Mohammad Azam

    SwiftData made its debut at WWDC 2023 as a replacement for the Core Data framework. Serving as a wrapper on top of Core Data, SwiftData enables on-device persistence and seamless syncing to the cloud. One of the key benefits of utilizing SwiftData lies in its effortless integration with the SwiftUI framework. This article is structured into several sections, each delving into different aspects of the SwiftData framework.

  • May 28, 2023 | arxiv.org | Mohammad Azam

    [Submitted on 12 Jun 2022 (v1), last revised 28 May 2023 (this version, v4)] Title:Mining Multi-Label Samples from Single Positive Labels Download a PDF of the paper titled Mining Multi-Label Samples from Single Positive Labels, by Youngin Cho and 3 other authors Download PDF Abstract: Conditional generative adversarial networks (cGANs) have shown superiorresults in class-conditional generation tasks.

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