What are the most influential factors of consumers’ intention to use NFC-enabled credit cards?
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3635-6
Abstract: The aim of this study is to determine the variables which affect the intention of Near-Field Communication (NFC)-enabled mobile credit card usage by estimating a fuzzy linear regression (FLR) model. The FLR model is used… read more here.
Keywords: mobile credit; credit cards; nfc enabled; use nfc ... See more keywords
3051 GaitKeeper: revolutionising standardised gait speed measurement with AI-enabled mobile technology
Sign Up to like & getrecommendations! Published in 2025 at "Age and Ageing"
DOI: 10.1093/ageing/afaf133.076
Abstract: Gait speed, often referred to as the ‘sixth vital sign,’ is an important health indicator in older adults, predicting morbidity and functional status. This study evaluated GaitKeeper, a novel artificial intelligence (AI)-enabled mobile technology that… read more here.
Keywords: enabled mobile; gait; gaitkeeper; gait speed ... See more keywords
The use of AI-enabled mobile technology in frailty assessment: a novel solution for measuring gait speed
Sign Up to like & getrecommendations! Published in 2025 at "Age and Ageing"
DOI: 10.1093/ageing/afaf254.004
Abstract: Frailty and fall risk predict perioperative complications and recovery outcomes in older adults. Gait speed, recognised as the ‘sixth vital sign,’ is a critical health indicator but often underutilised due to measurement challenges. This study… read more here.
Keywords: mobile technology; gait speed; frailty; enabled mobile ... See more keywords
Joint Differential Evolution and Successive Convex Approximation in UAV-enabled Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3176362
Abstract: UAV-enabled mobile edge computing (MEC) is a emerging technology to support resource-intensive yet delay-sensitive applications with edge clouds (ECs) deployed in the proximity to mobile users and UAVs served as computing base stations in the… read more here.
Keywords: mobile edge; optimization; convex; enabled mobile ... See more keywords
A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading
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DOI: 10.1109/access.2024.3431922
Abstract: Utilizing Unmanned Aerial Vehicles (UAVs) as flying edge nodes to support task offloading from terminal devices has recently attracted significant research attention. However, the literature lacks a systematic perspective on this emerging topic. The goals… read more here.
Keywords: task; enabled mobile; edge; uav enabled ... See more keywords
Multi-UAV-Enabled Mobile-Edge Computing for Time-Constrained IoT Applications
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3073208
Abstract: Unmanned-aerial-vehicle (UAV)-enabled mobile-edge computing (MEC) has emerged as a promising paradigm to extend the coverage of computation service for Internet of Things (IoT) applications, which are usually time sensitive and computation intensive. In this article,… read more here.
Keywords: time; computation; uav enabled; mobile edge ... See more keywords
A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3144400
Abstract: The Internet of Things (IoT) has grown over decades to encompass many forms of sensing modalities, and continues to improve in terms of sophistication and lower costs. The trend of hardware miniaturization and emphasis on… read more here.
Keywords: health; health monitoring; review iot; iot enabled ... See more keywords
Motivating Human-Enabled Mobile Participation for Data Offloading
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2017.2773087
Abstract: The exploding popularity of mobile devices enables people to enjoy benefits brought by various interesting mobile apps. However, the ever-increasing data traffic has exacerbated the congestion on current cellular networks, which results in users’ dissatisfaction,… read more here.
Keywords: human enabled; data offloading; mobile participation; enabled mobile ... See more keywords
Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2021.3114193
Abstract: Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and… read more here.
Keywords: task enabled; task; task partitioning; dnn task ... See more keywords
Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2024.3379298
Abstract: Unmanned aerial vehicles (UAVs) have been widely utilized to expand wireless network coverage and provide computation service for Internet-of-Things (IoT) devices in signal-blocked or shadowed environments. In this paper, we propose a novel multi-UAV-enabled mobile… read more here.
Keywords: enabled mobile; energy; edge; uav enabled ... See more keywords
Dynamic Offloading and Trajectory Control for UAV-Enabled Mobile Edge Computing System With Energy Harvesting Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3184953
Abstract: Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has recently emerged as a cost-effective solution to provide computation service to distributed devices in the absence of terrestrial infrastructure. In this paper, we consider a UAV-enabled… read more here.
Keywords: problem; system; mobile edge; energy ... See more keywords