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   Articles with "bilstm" as a keyword



A rate of penetration (ROP) prediction method based on improved dung beetle optimization algorithm and BiLSTM-SA

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-75703-8

Abstract: In the field of oil drilling, accurately predicting the Rate of Penetration (ROP) is crucial for improving drilling efficiency and reducing costs. Traditional prediction methods and existing machine learning approaches often lack accuracy and generalization… read more here.

Keywords: penetration rop; bilstm; prediction; model ... See more keywords

Influence of cognitive networks and task performance on fMRI-based state classification using DNN models

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-05690-x

Abstract: Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, however, their application in cognitive neuroscience remains limited, largely due to the lack of approaches with interpretability. Here, we employ two… read more here.

Keywords: classification; bilstm; dnn models; performance ... See more keywords

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-24751-9

Abstract: This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of renewable energy… read more here.

Keywords: reactive power; voltage profile; bilstm; voltage ... See more keywords

Inter-turn short circuit and demagnetization fault diagnosis of ship PMSM based on multiscale residual dilated CNN and BiLSTM

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad19c0

Abstract: Inter-turn short circuit (ITSC) and demagnetization of permanent magnet synchronous motors (PMSMs) can lead to serious ship accidents, timely and accurate fault diagnosis of these faults is very important. A multi-signal fusion fault diagnosis method… read more here.

Keywords: cnn; bilstm; demagnetization; fault diagnosis ... See more keywords

A fault detection of aero-engine rolling bearings based on CNN-BiLSTM network integrated cross-attention

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad7622

Abstract: Aero-engine rolling bearings are essential for engine health, in which disruptive failures can be prevented and reduce great losses in air flight. To improve the efficiency of fault detection, an improved network, named CNN- BiLSTM… read more here.

Keywords: cnn; bilstm; engine rolling; rolling bearings ... See more keywords

2D BiLSTM Based Channel Impulse Response Estimator for Improving Throughput in Underwater Sensor Network

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3179001

Abstract: In underwater acoustic (UWA) sensor network, the channel impulse response (CIR) at the transmitter is important to increase the link reliability and the throughput. The CIR feedback to the transmitter decreases the throughput due to… read more here.

Keywords: network; sensor network; estimator; bilstm ... See more keywords

Radar Signals Intrapulse Modulation Recognition Using Phase-Based STFT and BiLSTM

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3195273

Abstract: The goal of radar emitter recognition (RER) is to extract the features of the received emitter signal. This has become a critical issue as new radar types are emerging, and the electromagnetic environment is becoming… read more here.

Keywords: recognition; phase coded; phase based; radar ... See more keywords

RFE Based Feature Selection and KNNOR Based Data Balancing for Electricity Theft Detection Using BiLSTM-LogitBoost Stacking Ensemble Model

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3215532

Abstract: Obtaining outstanding electricity theft detection (ETD) performance in the realm of advanced metering infrastructure (AMI) and smart grids (SGs) is quite difficult due to various issues. The issues include limited availability of theft data as… read more here.

Keywords: electricity theft; feature; theft; model ... See more keywords

Intelligent BiLSTM-Attention-IBPNN Method for Anomaly Detection in Financial Auditing

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3420243

Abstract: Anomaly detection is a fundamental requirement in financial auditing, its detecting results can be used to correct the defects and predict risks for audited enterprise. However, with the auditing data becoming very huge, the anomaly… read more here.

Keywords: detection; method; attention; anomaly detection ... See more keywords

Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3587988

Abstract: Large Language Models (LLMs) have transformed natural language processing, enabling applications such as conversational agents and machine translation. However, their deployment introduces significant privacy concerns, including the memorization and unintended disclosure of sensitive data. Existing… read more here.

Keywords: large language; privacy; bilstm; language ... See more keywords

WS-BiLSTM-MA: Wavelet Scattering-Based BiLSTM With Mixed Attention Block for MDD Recognition Using Multichannel EEG Signals

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3502843

Abstract: Major depressive disorder (MDD) recognition using multichannel electroencephalography (EEG) signals has profound clinical value with its richness and accessibility of temporal information, but such signals may suffer from nonstationarity and redundant characteristics. To cope with… read more here.

Keywords: eeg signals; wavelet scattering; bilstm; mdd recognition ... See more keywords