Results 151 to 160 of about 16,939 (236)

Prediction model of sparse autoencoder-based bidirectional LSTM for wastewater flow rate. [PDF]

J Supercomput, 2023
Huang J, Yang S, Li J, Oh J, Kang H.
europepmc   +1 more source

An improved long short-term memory with denoising autoencoder for solving text classification problems

Mehran University Research Journal of Engineering and Technology
In the past decade, text classification has been a popular research field for automatically categorizing documents into relevant categories. Predicting classes for input samples based on their features is the goal of classification.
Amani Saleh Alija, Nor Adnan Yahaya
doaj   +1 more source

Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction. [PDF]

Environ Sci Pollut Res Int, 2023
Bommidi BS, Kosana V, Teeparthi K, Madasthu S.   +3 more
europepmc   +1 more source

Splice-site identification for exon prediction using bidirectional LSTM-RNN approach. [PDF]

Biochem Biophys Rep, 2022
Singh N, Nath R, Singh DB.
europepmc   +1 more source

Method of Bidirectional LSTM Modelling for the Atmospheric Temperature

Intelligent Automation & Soft Computing, 2021
Shuo Liang, Dingcheng Wang, Jingrong Wu, Rui Wang, Ruiqi Wang   +4 more
openaire   +1 more source

Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. [PDF]

Sensors (Basel), 2022
Chen J, Liu C, Xie J, An J, Huang N.
europepmc   +1 more source

Stacking Ensemble Modeling of Bidirectional LSTM and Bidirectional GRU for Air Temperature Prediction in Ngawi

Artificial Neural Networks (ANN) have rapidly developed and are used in forecasting, classification, and regression by mimicking how the human brain processes data.
Nike Yustina Oktaviani, Iqbal Kharisudin
core   +2 more sources

Spatial feature recognition and layout method based on improved CenterNet and LSTM frameworks

ETRI Journal
Existing spatial feature recognition and layout methods primarily identify spatial components manually, which is time-consuming and inefficient, and the constraint relationship between objects in space can be difficult to observe.
Yuxuan Gu, Fengyu Liu, Xiaodi Yi, Lewei Yang, Yunshu Wang   +4 more
doaj   +1 more source

Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network. [PDF]

Comput Intell Neurosci, 2021
Kantipudi MP, Kumar S, Kumar Jha A.
europepmc   +1 more source

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. [PDF]

Neurocomputing (Amst), 2022
Quilodrán-Casas C, Silva VLS, Arcucci R, Heaney CE, Guo Y, Pain CC.   +5 more
europepmc   +1 more source