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Now showing items 131-140 of 712
A co-design-based reliable low-latency and energy-efficient transmission protocol for uwsns
(
MDPI AG
, 2020 , Article)
Recently, underwater wireless sensor networks (UWSNs) have been considered as a powerful technique for many applications. However, acoustic communications in UWSNs bring in huge QoS issues for time-critical applications. ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
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
(
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 ...
Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
(
Elsevier
, 2022 , Article)
COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. ...
Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Other)
[No abstract available]
Introduction to the Special Section on Artificial Intelligence Security: Adversarial Attack and Defense
(
IEEE Computer Society
, 2021 , Other)
5G and beyond (B5G) networks are leading a digital revolution in telecommunication in both academia and industry. It brings new paradigms in many aspects of people's daily lives due to its advantages. However, it still ...
Millimeter Wave MIMO-OFDM with Index Modulation: A Pareto Paradigm on Spectral- Energy Efficiency Trade-Off
(
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 ...
Applications of deep learning for phishing detection: a systematic literature review
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Phishing attacks aim to steal confidential information using sophisticated methods, techniques, and tools such as phishing through content injection, social engineering, online social networks, and mobile applications. To ...
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
(
MDPI
, 2022 , Article)
In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...