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Improve the reliability of 6G vehicular communication through skip network coding
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Elsevier Inc.
, 2022 , Article)
One important design goal of 6G networks is adapting to complex heterogeneous scenarios and providing a stable and reliable transmission channel for specific applications such as vehicular communication. To achieve this, ...
2D Self-organized ONN model for Handwritten Text Recognition
(
Elsevier
, 2022 , Article)
Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since ...
A Lightweight and Secure Group Key Based Handover Authentication Protocol for the Software-Defined Space Information Network
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With rapid advances in satellite technology, space information network (SIN) has been proposed to meet the increasing demands of ubiquitous mobile communication due to its advantages in providing extensive access services. ...
ViDMASK dataset for face mask detection with social distance measurement
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Elsevier B.V.
, 2022 , Article)
The COVID-19 outbreak has extenuated the need for a monitoring system that can monitor face mask adherence and social distancing with the use of AI. With the existing video surveillance systems as base, a deep learning ...
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
(
MDPI
, 2021 , Article)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...
Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In intelligent transportation systems, wireless connected vehicles moving in platoons can improve roads' throughput. For managing driving status of the platoon, a lead vehicle transmits driving information to following ...
AI-Enabled Reliable Channel Modeling Architecture for Fog Computing Vehicular Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access networks are accommodating billions of ...
Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things (IoT) networks is a promising technology for large-scale environment sensing. A key challenge in UAV-aided data collection is that ...
FBIA: A Fog-Based Identity Authentication Scheme for Privacy Preservation in Internet of Vehicles
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In recent years, the Internet of vehicles (IoV) has become an indispensable part of wireless communication. To protect users' privacy and communication security, an increasing number of scholars have focused on studying ...
Intelligent Task Offloading and Energy Allocation in the UAV-Aided Mobile Edge-Cloud Continuum
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The arrival of big data and the Internet of Things (IoT) era greatly promotes innovative in-network computing techniques, where the edge-cloud continuum becomes a feasible paradigm in handling multi-dimensional resources ...