relation: https://khub.utp.edu.my/scholars/20429/
title: Edge Computing and AI for IoT: Opportunities and Challenges
creator: Heng, Lim Ean
creator: Yuen Chai, Tong
creator: Muniandy, Manoranjitham A.P.
creator: Fui, Tien
creator: Ooi, Boonyaik Yaik
creator: Lin, Jimmin Min
description: The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges. © 2023 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Heng, Lim Ean and Yuen Chai, Tong and Muniandy, Manoranjitham A.P. and Fui, Tien and Ooi, Boonyaik Yaik and Lin, Jimmin Min  (2023) Edge Computing and AI for IoT: Opportunities and Challenges.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174898281&doi=10.1109%2FICCE-Taiwan58799.2023.10226787&partnerID=40&md5=23c9634785969c2a2f1ae0b8a673a870
relation: 10.1109/ICCE-Taiwan58799.2023.10226787
identifier: 10.1109/ICCE-Taiwan58799.2023.10226787