Results 171 to 180 of about 16,939 (236)

A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network. [PDF]

BMC Bioinformatics, 2021
Wang L, Zhong X, Wang S, Zhang H, Liu Y.
europepmc   +1 more source

Integrating Meteorological Data and Bidirectional LSTM Models for Vulnerability Detection and Security Strategy Development in Power Energy Systems

The increasingly complex power energy system, coupled with the increasing frequency of extreme weather events, requires powerful models for vulnerability detection and security strategy development.
Xu, Jie, Wang, Hongxia, Li, Meng, Yang, Yang   +3 more
core   +1 more source

Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer. [PDF]

PLoS One
Alhassan AM, Altmami NI.
europepmc   +1 more source

Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks. [PDF]

Sci Rep, 2021
Shi K, Steigleder T, Schellenberger S, Michler F, Malessa A, Lurz F, Rohleder N, Ostgathe C, Weigel R, Koelpin A.   +9 more
europepmc   +1 more source

AI-WAR: a novel warfarin management software with a bidirectional LSTM dosing model improves time in therapeutic range. [PDF]

Front Pharmacol
Li Y, Xu N, Song L, Liu Y, Pei Q, Kuang Y, Yang G.   +6 more
europepmc   +1 more source

MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanism. [PDF]

BMC Bioinformatics, 2021
Ye Y, Wang J, Xu Y, Wang Y, Pan Y, Song Q, Liu X, Wan J.   +7 more
europepmc   +1 more source

Comparison of the Word2vec Skipgram Model Method Linkaja Application Review using Bidirectional LSTM Algorithm and Support Vector Machine

Word embedding is a phase in word processing that seeks to convert each word into a vector representation. Word2Vec is a sort of word embedding that is frequently utilized in natural language processing research.
Tantyoko, Henri, Ayuningtyas, Puji
core   +2 more sources

Subject-Independent Depression Recognition from EEG Using an Improved Bidirectional LSTM with Dynamic Vector Routing. [PDF]

Bioengineering (Basel)
Ji Z, Liu K, Ma W, Ning X, Gao Y.
europepmc   +1 more source

An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19. [PDF]

J Appl Stat, 2023
Pustokhin DA, Pustokhina IV, Dinh PN, Phan SV, Nguyen GN, Joshi GP, K S.   +6 more
europepmc   +1 more source

Advancing epileptic seizure recognition through bidirectional LSTM networks. [PDF]

Front Comput Neurosci
Al-Marzouki S.
europepmc   +1 more source