Ngu, Anne H. H.Yasmin, Awatif2024-04-112024-04-112024-03Ngu, A. H. H., & Yasmin, A. (2024). An empirical study on AI-powered edge computing architectures for real-time IoT applications. Poster presented at the Health Scholar Showcase, Translational Health Research Center, San Marcos, Texas.https://hdl.handle.net/10877/18440Edge computing is indispensable for IoT applications, handling data from billions of devices and expected to surpass 41.6 billion installations by 2023. It facilitates swift decision-making at the device level. It conserves network bandwidth by processing data locally, making it suitable for resource-constrained or costly networks. Bolsters privacy and security by storing data locally, particularly crucial for applications that involves processing personal data.Image1 page1 file (.pdf)enAIcomputing architecturesIoT applicationsAn Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT ApplicationsPoster