A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing
Sign Up to like & getrecommendations! Published in 2023 at "Automatika"
DOI: 10.1080/00051144.2023.2195218
Abstract: Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing… read more here.
Keywords: neural network; optimized deep; recurrent neural; network drnn ... See more keywords
Efficient pricing and hedging of high-dimensional American options using deep recurrent networks
Sign Up to like & getrecommendations! Published in 2023 at "Quantitative Finance"
DOI: 10.1080/14697688.2023.2167666
Abstract: We propose a deep recurrent neural network (RNN) framework for computing prices and deltas of American options in high dimensions. Our proposed framework uses two deep RNNs, where one network learns the continuation price and… read more here.
Keywords: efficient pricing; pricing hedging; american options; framework ... See more keywords
Online Partial Offloading and Task Scheduling in SDN-Fog Networks With Deep Recurrent Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3130474
Abstract: Smart industries enabling automation and data exchange in manufacturing technologies demanding real-time processing, nearby storage, and reliability, all of which can be satisfied by the fog computing architecture. With the emergence of smart devices coupled… read more here.
Keywords: deep recurrent; fog networks; network; online partial ... See more keywords
Deep Recurrent Neural Networks for Ionospheric Variations Estimation Using GNSS Measurements
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3090856
Abstract: Modeling ionospheric variability throughout a proper total electron content (TEC) parameter estimation is a demanding, however, crucial, process for achieving better accuracy and rapid convergence in precise point positioning (PPP). In particular, the single-frequency PPP… read more here.
Keywords: neural networks; recurrent neural; networks ionospheric; model ... See more keywords
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3142425
Abstract: In spite of achieving promising results in hyperspectral image (HSI) restoration, deep-learning-based methodologies still face the problem of spectral or spatial information loss due to neglecting the inner correlation of HSI. To address this issue,… read more here.
Keywords: hsi; neural network; deep recurrent; hsi destriping ... See more keywords
Deep Recurrent Q-Network Methods for mmWave Beam Tracking systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3200356
Abstract: This article studies a reinforcement learning (RL) approach for beam tracking problems in millimeter-wave massive multiple-input multiple-output (MIMO) systems. Entire beam sweeping in traditional beam training problems is intractable due to prohibitive search overheads. To… read more here.
Keywords: beam; network methods; deep recurrent; recurrent network ... See more keywords
Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/8831521
Abstract: With the exponential growth of traffic data and the complexity of traffic conditions, in order to effectively store and analyse data to feed back valid information, this paper proposed an urban road traffic status prediction… read more here.
Keywords: traffic; traffic status; recurrent learning; deep recurrent ... See more keywords