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A Vision on 6G-Enabled NIB: Requirements, Technologies, Deployments, and Prospects
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Network-in-a-box (NIB) aims to provide personalized private network services in mission-crit-ical situations. Innovation in business models in industry 4.0 would require NIB to get positioned anywhere and provision seamless ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
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Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Profit Maximization of Online Service Function Chain Orchestration in an Inter-Datacenter Elastic Optical Network
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
To meet the increasing traffic demands characterized by large bandwidth and high burstiness, more traffic has been moving to inter-datacenter elastic optical networks (inter-DC EONs) for processing. The integration of two ...
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 ...
Adversarial Attacks for Image Segmentation on Multiple Lightweight Models
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas. However, in recent years, it was found that some adversarial samples easily fool the ...
5G vehicular network resource management for improving radio access through machine learning
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ...
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 ...
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 ...
A deep learning based static taint analysis approach for IoT software vulnerability location
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Elsevier B.V.
, 2020 , Article)
Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of ...
Deep CNN-Based real-time traffic light detector for self-driving vehicles
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ...