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Enhancing Congestion Control to Improve User Experience in IoT Using LSTM Network
The gathered data is used to create and train an LSTM network architecture specific to the IoT environment.
IRS-aided UAV for Future Wireless Communications: A Survey and Research Opportunities
The technological features of the most recent relevant researches on IRS-aided UAV communications from the perspective of the main performance criteria, i. e., energy efficiency, security, spectral efficiency, etc.
LSTM-Based Distributed Conditional Generative Adversarial Network For Data-Driven 5G-Enabled Maritime UAV Communications
Secondly, to enhance the applications for the proposed trained channel model for the spatial domain, we have designed an LSTM-DCGAN based UAV network, where each one will learn mmWave CSI for all the distributions.
Scoring the Terabit/s Goal:Broadband Connectivity in 6G
Several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G.
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Therefore, in this paper, a new framework is proposed to detect COVID-19 using built-in smartphone sensors.
