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Artificial Intelligence Security in 5G Networks: Adversarial Examples for Estimating a Travel Time Task
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the rapid development of the Internet, the nextgeneration network (5G) has emerged. 5G can support a variety of new applications, such as the Internet of Things (IoT), virtual reality (VR), and the Internet of Vehicles. ...
Optimal Cooperative Relaying and Power Control for IoUT Networks with Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Underwater Things (IoUT) consists of numerous sensor nodes distributed in an underwater area for sensing, collecting, processing information, and sending related messages to the data processing center. However, ...
Blockchain for decentralized multi-drone to combat COVID-19 and future pandemics: Framework and proposed solutions
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John Wiley and Sons Inc
, 2021 , Article)
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...
A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Driven by privacy concerns and the visions of deep learning, the last four years have witnessed a paradigm shift in the applicability mechanism of machine learning (ML). An emerging model, called federated learning (FL), ...
Spatiotemporal data mining: a survey on challenges and open problems
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Springer Science and Business Media B.V.
, 2022 , Article)
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, ...
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
An adaptive cache management approach in ICN with pre-filter queues
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Elsevier B.V.
, 2020 , Article)
In Information-Centric Networking (ICN), transmission does not depend on the ends of communication, but on the content itself. In-network cache plays an important role in ICN, it empowers nodes in ICN better mobility. It ...
Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs ...
Secure facial recognition in the encrypted domain using a local ternary pattern approach
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Elsevier Ltd
, 2021 , Article)
Automatic facial recognition is fast becoming a reliable method for identifying individuals. Due to its reliability and unobtrusive nature facial recognition has been widely deployed in law enforcement and civilian ...
Image-based body mass prediction of heifers using deep neural networks
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Academic Press
, 2021 , Article)
Manual weighing of heifers is time-consuming, labour-intensive, expensive, and can be dangerous and risky for both humans and animals because it requires the animal to be stationary. To overcome this problem, automated ...