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DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...
IEEE Access Special section Editorial: Mobile edge computing and mobile cloud computing: Addressing heterogeneity and energy issues of compute and network resources
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Other)
[No abstract available]
A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The impact of the COVID-19 ...
Multi-access edge computing: A survey
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Other)
Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity ...
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in ...
Budgeted online selection of candidate iot clients to participate in federated learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
StabTrust-A Stable and Centralized Trust-Based Clustering Mechanism for IoT Enabled Vehicular Ad-Hoc Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Vehicular Ad-hoc Network (VANET) is a modern era of dynamic information distribution among societies. VANET provides an extensive diversity of applications in various domains, such as Intelligent Transport System (ITS) and ...
Time-Dependent Pricing for Bandwidth Slicing under Information Asymmetry and Price Discrimination
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the bursty nature of Internet traffic, network service providers (NSPs) are forced to expand their network capacity in order to meet the ever-increasing peak-time traffic demand, which is however costly and inefficient. ...
An optimal uplink traffic offloading algorithm via opportunistic communications based on machine learning
(
Springer
, 2020 , Article)
Opportunistic communications as an efficient traffic offloading method can be used to offload uplink traffic of cellular networks to Wi-Fi networks. However, because of its contact pattern (contact frequency and contact ...
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ...