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   Articles with "rnn" as a keyword



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Optimal control strategies for a hybrid renewable energy system: an ALANN/RNN technique

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recommendations! Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-019-03885-9

Abstract: In this paper, optimal control strategy for the power flow management of the grid-connected hybrid renewable energy system (HRES) is proposed. The proposed control strategy is the parallel execution of both the ant lion optimization… read more here.

Keywords: power flow; control; optimal control; power ... See more keywords
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Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)

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recommendations! Published in 2019 at "Health Information Science and Systems"

DOI: 10.1007/s13755-019-0077-1

Abstract: PurposeA large chunk of lung cancers are of the type non-small cell lung cancer (NSCLC). Both the treatment planning and patients’ prognosis depend greatly on factors like AJCC staging which is an abstraction over TNM staging.… read more here.

Keywords: network; rnn; lung; model ... See more keywords
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Gamma ray log generation from drilling parameters using deep learning

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recommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2020.107906

Abstract: Abstract Lithology identification plays a vital role in defining the petroleum reservoir. Although well logging represents the traditional means of obtaining petrophysical data for lithology identification, there could be cases where logging while drilling instruments… read more here.

Keywords: gamma ray; network; ray log; rnn ... See more keywords
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Where to put the image in an image caption generator

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recommendations! Published in 2018 at "Natural Language Engineering"

DOI: 10.1017/s1351324918000098

Abstract: Abstract When a recurrent neural network (RNN) language model is used for caption generation, the image information can be fed to the neural network either by directly incorporating it in the RNN – conditioning the… read more here.

Keywords: image; rnn; caption; language model ... See more keywords
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A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3226323

Abstract: This paper proposes a hybrid approach combining Recurrent Neural Network (RNN) and polynomial regression methods for time-domain modeling of nonlinear circuits. The proposed hybrid RNN-polynomial regression (HRPR) method merges RNN and polynomial regression which leads… read more here.

Keywords: rnn; neural network; regression; hybrid approach ... See more keywords
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Decoding Short LDPC Codes via BP-RNN Diversity and Reliability-Based Post-Processing

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recommendations! Published in 2022 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2022.3218821

Abstract: This paper investigates decoder diversity architectures for short low-density parity-check (LDPC) codes, based on recurrent neural network (RNN) models of the belief-propagation (BP) algorithm. We propose a new approach to achieve decoder diversity in the… read more here.

Keywords: diversity; post processing; rnn; ldpc codes ... See more keywords
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FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT

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recommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2022.3152106

Abstract: Despite massive research in deep learning, the human activity recognition (HAR) domain still suffers from key challenges in terms of accurate classification and detection. The core idea behind recognizing activities accurately is to assist Internet-of-things… read more here.

Keywords: iot applications; dwt; rnn; activity ... See more keywords
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MM-RNN: A Multimodal RNN for Precipitation Nowcasting

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3264545

Abstract: Precipitation nowcasting, the high-resolution forecasting of precipitation in a short term, is essential in various applications in the real world. Previous deep learning methods use huge samples to learn potential laws, and the learning process… read more here.

Keywords: rnn; multimodal rnn; rnn multimodal; rnn precipitation ... See more keywords
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RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network

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recommendations! Published in 2018 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2018.2806741

Abstract: Quantization index modulation (QIM) steganography makes it possible to hide secret information in voice-over IP (VoIP) streams, which could be utilized by unauthorized entities to set up covert channels for malicious purposes. Detecting short QIM… read more here.

Keywords: steganalysis; rnn; recurrent neural; voip streams ... See more keywords
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New Varying-Parameter Recursive Neural Networks for Model-Free Kinematic Control of Redundant Manipulators With Limited Measurements

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3161713

Abstract: Taking advantage of the computational efficacy, the recursive neural network (RNN) has been successfully applied to the tracking control of redundant manipulators. However, the existing control system based on the fixed-parameter RNN (FP-RNN) model is… read more here.

Keywords: rnn; control redundant; control; parameter ... See more keywords
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Predicting Breast Cancer Based on Optimized Deep Learning Approach

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1820777

Abstract: Breast cancer is a dangerous disease with a high morbidity and mortality rate. One of the most important aspects in breast cancer treatment is getting an accurate diagnosis. Machine-learning (ML) and deep learning techniques can… read more here.

Keywords: rnn; breast cancer; deep learning; optimized deep ... See more keywords