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Pulmonary Fibrosis Progression Prediction Using Image Processing and Machine Learning
(
Springer Nature
, 2021 , Book chapter)
The onset of COVID-19 has focused the attention of the research community on lung diseases and conditions. Idiopathic pulmonary fibrosis (IPF), in which internal scarring of the lung takes place, has gone undetected among ...
COVID-19 infection localization and severity grading from chest X-ray images
(
Elsevier Ltd
, 2021 , Article)
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...
Intelligent Task Offloading and Energy Allocation in the UAV-Aided Mobile Edge-Cloud Continuum
(
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 ...
Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks have led to a new and promising paradigm called the Internet of Vehicles (IoV). However, the mode of communication in IoV being ...
Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things
(
Elsevier Ltd
, 2021 , Article)
Internet of Things (IoT) consists of a huge number of sensors along with physical things to gather and forward data intelligently. Green IoT applications based on Wireless Sensor Networks (WSNs) are developed in various ...
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
(
Elsevier Ltd
, 2021 , Article)
In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ...
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ...
Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
5G wireless network technology will not only significantly increase bandwidth but also introduce new features such as mMTC and URLLC. However, high request latency will remain a challenging problem even with 5G due to the ...
A deep learning based static taint analysis approach for IoT software vulnerability location
(
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 ...
A machine learning framework for enhancing digital experiences in cultural heritage
(
Emerald Group Publishing Ltd.
, 2020 , Article)
Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ...