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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 ...
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 ...
Millimeter Wave MIMO-OFDM with Index Modulation: A Pareto Paradigm on Spectral- Energy Efficiency Trade-Off
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has recently received increased attention, due to the potential advantage to balance the trade-off between ...
Green internet of things using UAVs in B5G networks: A review of applications and strategies
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Elsevier B.V.
, 2021 , Article)
Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
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Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
System log detection model based on conformal prediction
(
MDPI AG
, 2020 , Article)
With the rapid development of the Internet of Things, the combination of the Internet of Things with machine learning, Hadoop and other fields are current development trends. Hadoop Distributed File System (HDFS) is one ...
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos
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Elsevier
, 2020 , Article)
© 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...
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 ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
A survey of cyber-physical attacks and detection methods in smart water distribution systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Modern technologies empower water distribution systems (WDS) for better services in the processes of water supply, storage, distribution, and recycling. They improve real-time monitoring, automating, and managing. However, ...