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
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
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
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3159602
Abstract: Driver distraction diverting drivers’ attention to unrelated tasks and decreasing the ability to control vehicles, has aroused widespread concern about driving safety. Previous studies have found that driving performance decreases after distraction and have used… read more here.
Keywords: driver distraction; distraction; eeg; long short ... See more keywords
Protein remote homology detection based on bidirectional long short-term memory
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1842-2
Abstract: BackgroundProtein remote homology detection plays a vital role in studies of protein structures and functions. Almost all of the traditional machine leaning methods require fixed length features to represent the protein sequences. However, it is… read more here.
Keywords: bidirectional long; remote homology; protein remote; homology detection ... See more keywords
Bidirectional long-reach PON using Kramers-Kronig-based receiver for Rayleigh Backscattering noise and SSBI interference elimination.
Sign Up to like & getrecommendations! Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.019020
Abstract: In this paper, a novel bidirectional long-reach PON is proposed and demonstrated by using Kramers-Kronig (KK)-based receiver and 7-core fiber to simultaneously cope with the induced signal-signal beating interference (SSBI) and Rayleigh backscattering (RB) noises.… read more here.
Keywords: upstream downstream; ssbi; long reach; bidirectional long ... See more keywords