SOC Prediction of Li-Ion Battery Based on EKF and CNN-BiLSTM-Attention
Sign Up to like & getrecommendations! Published in 2025 at "ACS Omega"
DOI: 10.1021/acsomega.5c06451
Abstract: Accurate estimation of the state of charge (SOC) of lithium iron phosphate (LiFePO4) batteries is critical for ensuring the reliability and safety of commercial and industrial energy storage systems. Deep learning methods have become an… read more here.
Keywords: battery; attention; cnn bilstm; prediction ... See more keywords
An improved sparrow search algorithm and CNN-BiLSTM neural network for predicting sea level height
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-55266-4
Abstract: Accurate prediction of sea level height is critically important for the government in assessing sea level risk in coastal areas. However, due to the nonlinear, time-varying and highly uncertain characteristics of sea level change data,… read more here.
Keywords: sea level; model; algorithm; cnn bilstm ... See more keywords
Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-80421-2
Abstract: Ensuring the long-term safe usage of lithium-ion batteries hinges on accurately estimating the State of Health \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(\textrm{SOH})$$\end{document} and predicting the Remaining Useful Life (RUL). This study… read more here.
Keywords: lithium ion; cnn bilstm; prediction; ion batteries ... See more keywords
Predicting Residential Electricity Consumption Using CNN-BiLSTM-SA Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3400972
Abstract: As global population growth and the use of household appliances increase, residential electricity consumption has surged, leading to challenges in maintaining a balanced electrical load. This surge often results in localized and intermittent power outages,… read more here.
Keywords: residential electricity; electricity; electricity consumption; cnn bilstm ... See more keywords
PLI and CNN-BiLSTM: An Enhanced Data Augmentation and Deep Learning Approach for Defect Recognition in Spiral Welded Pipe Based on Ultrasonic Guided Waves
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3602431
Abstract: Defect detection in urban heat pipes is critical for ensuring system safety and reliability, where ultrasonic guided wave (UGW) technology plays a pivotal role. However, the complex guided wave propagation caused by spiral welds [resulting… read more here.
Keywords: deep learning; cnn bilstm; augmentation; data augmentation ... See more keywords
Logging Curve Reconstruction Method Based on CNN-BiLSTM With Integrated Attention Mechanism
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3580805
Abstract: Traditional logging methods often encounter complications like collapses of wellbores and instrument malfunctions, leading to the loss or misalignment of logging data. Relogging is expensive, particularly for oil and gas wells that have already been… read more here.
Keywords: attention; reconstruction; integrated attention; attention mechanism ... See more keywords
Acoustic Modality Based Hybrid Deep 1D CNN-BiLSTM Algorithm for Moving Vehicle Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3148783
Abstract: The main challenging goals in acoustic modality based moving vehicle recognition system is to accurately classify the moving vehicle with minimum misclassification rate. This article proposes an acoustic modality-based hybrid deep 1D convolutional neural network-bidirectional… read more here.
Keywords: classification; cnn bilstm; cnn; moving vehicle ... See more keywords
Deep Learning Based Emotion Recognition and Visualization of Figural Representation
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.818833
Abstract: This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the intelligent learning environment of the Internet. After comparing the performance of several neural network algorithms related… read more here.
Keywords: emotion recognition; visualization; deep learning; cnn bilstm ... See more keywords
CNN-BiLSTM-DNN-Based Modulation Recognition Algorithm at Low SNR
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135879
Abstract: Radio spectrum resources are very limited and have become increasingly tight in recent years, and the exponential growth of various frequency-using devices has led to an increasingly complex and changeable electromagnetic environment. Wireless channel complexity… read more here.
Keywords: modulation recognition; recognition; bilstm dnn; cnn bilstm ... See more keywords
XSS Attack Detection Method Based on CNN-BiLSTM-Attention
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15168924
Abstract: Cross-site scripting (XSS) is one of the most common security threats to web applications, posing a serious challenge to network information security. Targetting the limitations of traditional detection methods in identifying complex XSS attacks, this… read more here.
Keywords: method; attack; attention; cnn bilstm ... See more keywords
A Method Based on Deep Learning for Severe Convective Weather Forecast: CNN-BiLSTM-AM (Version 1.0)
Sign Up to like & getrecommendations! Published in 2024 at "Atmosphere"
DOI: 10.3390/atmos15101229
Abstract: In this study, we propose a model called CNN-BiLSTM-AM that utilizes deep learning techniques to forecast severe convective weather based on ERA5 hourly data and observations. The model integrates a CNN with a Bidirectional Long… read more here.
Keywords: deep learning; convective weather; cnn bilstm; weather ... See more keywords