Factorization‐based active contour segmentation and pelican optimization‐based modified bidirectional long short‐term memory for ovarian tumor detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22796
Abstract: This paper proposes a novel three‐dimensional convolution neural network‐based modified bidirectional long short‐term memory with pelican optimization (3D CNN based MBiLSTM with PO) algorithm for multiclass ovarian tumor detection. Initially, the International Collaboration on Cancer… read more here.
Keywords: based modified; segmentation; long short; modified bidirectional ... See more keywords
Remaining Useful Life Prediction of Turbofan Engine Using Hybrid Model Based on Autoencoder and Bidirectional Long Short-Term Memory
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Shanghai Jiaotong University (Science)"
DOI: 10.1007/s12204-018-2027-5
Abstract: Turbofan engine is a critical aircraft component with complex structure and high-reliability requirements. Effectively predicting the remaining useful life (RUL) of turbofan engines has essential significance for developing maintenance strategies and reducing maintenance costs. Considering… read more here.
Keywords: long short; model; bidirectional long; short term ... See more keywords
CCG supertagging with bidirectional long short-term memory networks*
Sign Up to like & getrecommendations! Published in 2017 at "Natural Language Engineering"
DOI: 10.1017/s1351324917000250
Abstract: Abstract Neural Network-based approaches have recently produced good performances in Natural language tasks, such as Supertagging. In the supertagging task, a Supertag (Lexical category) is assigned to each word in an input sequence. Combinatory Categorial… read more here.
Keywords: term memory; bidirectional long; short term; long short ... See more keywords
Supervised Attention-Based Bidirectional Long Short-Term Memory Network for Nonlinear Dynamic Soft Sensor Application
Sign Up to like & getrecommendations! Published in 2023 at "ACS Omega"
DOI: 10.1021/acsomega.2c07400
Abstract: Soft sensors are mathematical methods that describe the dependence of primary variables on secondary variables. A nonlinear characteristic commonly appears in modern industrial process data with increasing complexity and dynamics, which has brought challenges to… read more here.
Keywords: based bidirectional; attention based; supervised attention; soft sensor ... See more keywords
Intelligent wave height prediction based on multitrunk fusion neural networks with bidirectional long short-term memory network
Sign Up to like & getrecommendations! Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0251712
Abstract: This article introduces a multi-backbone neural network fusion model that integrates a Bidirectional Long Short-Term Memory network with residual connections, while incorporating convolutional layers, fully connected layers, and attention mechanisms. The model uses real-world marine… read more here.
Keywords: term memory; long short; memory network; network ... See more keywords
Arabic Diacritization Using Bidirectional Long Short-Term Memory Neural Networks With Conditional Random Fields
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3018885
Abstract: Arabic diacritics play a significant role in distinguishing words with the same orthography but different meanings, pronunciations, and syntactic functions. The presence of Arabic diacritics can be useful in many natural language processing applications, such… read more here.
Keywords: term memory; long short; neural networks; short term ... See more keywords
A Hybrid Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Unit Architecture for Protein Secondary Structure Prediction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3444468
Abstract: Protein secondary structure prediction plays a pivotal role in deciphering protein function and structure, with implications for drug discovery, functional annotation, and molecular biology research. Deep learning techniques, particularly recurrent neural networks (RNNs), have shown… read more here.
Keywords: protein secondary; structure; structure prediction; secondary structure ... See more keywords
Movement Intention Decoding from Electromyographic Signals Using Deep Residual Networks and Bidirectional Long Short-Term Memory with Hybrid Attention
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3637561
Abstract: The accurate identification of a patient’s movement intention using electromyography (EMG) signals plays a pivotal role in wrist rehabilitation training. However, existing EMG signal classification methods often fail to adequately capture essential features, including critical… read more here.
Keywords: term memory; long short; attention; movement intention ... See more keywords
Seismic Data Reconstruction Using Deep Bidirectional Long Short-Term Memory With Skip Connections
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2993847
Abstract: Due to environmental and economic constraints on their acquisition, seismic data are always irregularly sampled and include bad or missing traces, which can cause problems for seismic data processing. Recently, many researchers have attempted to… read more here.
Keywords: data reconstruction; seismic data; reconstruction using; deep bidirectional ... See more keywords
Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3102034
Abstract: Deep neural networks have been widely applied to hyperspectral image (HSI) classification areas, in which recurrent neural network (RNN) is one of the most typical networks. Most of the existing RNN-based classifiers treat the spectral… read more here.
Keywords: classification; network; hyperspectral image; attention ... See more keywords
A Supervised Bidirectional Long Short-Term Memory Network for Data-Driven Dynamic Soft Sensor Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3152856
Abstract: Data-driven soft sensors have been widely adopted in industrial processes to learn hidden knowledge automatically from process data, then to monitor difficult-to-measure quality variables. However, to extract and utilize useful dynamic latent features accurately for… read more here.
Keywords: sensor modeling; supervised bidirectional; soft sensor; data driven ... See more keywords