Optimal control strategies for a hybrid renewable energy system: an ALANN/RNN technique
Sign Up to like & getrecommendations! 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
Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
Sign Up to like & getrecommendations! 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
Gamma ray log generation from drilling parameters using deep learning
Sign Up to like & getrecommendations! 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
Where to put the image in an image caption generator
Sign Up to like & getrecommendations! 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
Empowering coffee farming using counterfactual recommendation based RNN driven IoT integrated soil quality command system
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-56954-x
Abstract: Soil health is essential for whirling stale soil into rich coffee-growing land. By keeping healthy soil, coffee producers may improve plant growth, leaf health, buds, cherry and bean quality, and yield. Traditional soil monitoring is… read more here.
Keywords: system; rnn; coffee; integrated soil ... See more keywords
Hybrid neural network method for damage localization in structural health monitoring
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-92396-9
Abstract: The detection of cracks in large structures is of critical importance, as such damage can result not only in significant financial costs but also pose serious risks to public safety. Many existing methods for crack… read more here.
Keywords: cnn models; damage; rnn; crack detection ... See more keywords
Recurrent Neural Network (RNN) Based Algorithm in Multi‐Level Control of an Islanded DC Microgrid Connected to Variable Communication Networks
Sign Up to like & getrecommendations! Published in 2025 at "IET Renewable Power Generation"
DOI: 10.1049/rpg2.70052
Abstract: The utilization of microgrids (MGs) and energy communities has surged in recent years, enabling numerous stakeholders to participate in the power distribution system. Unfortunately, communication infrastructure failures in rural networks has increased the operational blind… read more here.
Keywords: rnn; control; recurrent neural; communication ... See more keywords
Tuned weighted feature fusion with hybridized DNN-RNN framework for plant disease detection and classification
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2313995
Abstract: ABSTRACT In the world economy, agriculture is an essential part among individuals to earn money. But, the farmers face more obstacles because more diseases naturally affect the health of the plant. Hence, to overcome this… read more here.
Keywords: plant disease; rnn; plant; disease detection ... See more keywords
Secure Wireless Sensor Networks: A Weighted K-NN and RNN-based Approach for Attack Detection and Localization
Sign Up to like & getrecommendations! Published in 2024 at "IETE Journal of Research"
DOI: 10.1080/03772063.2024.2436970
Abstract: In the realm of wireless sensor networks (WSNs), precise localization of sensor nodes and attack detection has emerged as a significant challenge. Accurate localization of sensor nodes and detection of attacks is crucial for enhancing… read more here.
Keywords: rnn; sensor; attack detection; localization ... See more keywords
A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits
Sign Up to like & getrecommendations! 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
Forecasting Vegetation Behavior Based on PlanetScope Time Series Data Using RNN-Based Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3365971
Abstract: Accurate vegetation behavior forecasting is essential for understanding the dynamics of plant life in the context of climate change and other natural or human-induced disturbances. Recurrent neural network (RNN) deep learning (DL) models represent a… read more here.
Keywords: rnn; vegetation behavior; forecasting vegetation; vegetation ... See more keywords