Results 111 to 120 of about 6,008 (208)

Unveiling deep learning powers: LSTM, BiLSTM, GRU, BiGRU, RNN comparison

Deep learning algorithms have revolutionized various fields by achieving remarkable results in time series analysis. Among the different architectures, recurrent neural networks (RNNs) have played a significant role in sequential data processing.
Shaikh, Zakir Mujeeb, Ramadass, Suguna
core   +2 more sources

Perbandingan Prediksi Indeks Harga Konsumen (IHK) di Indonesia Menggunakan Gated Recurrent Unit (GRU) dan Bidirectional GRU (BiGRU)

Indeks Harga Konsumen (IHK) merupakan indikator penting dalam mengukur inflasi dan stabilitas ekonomi suatu negara. IHK mencerminkan perubahan harga rata-rata barang dan jasa yang dikonsumsi oleh rumah tangga dalam periode tertentu.
Sasongko, Elisabeth Cheryl
core  

Pain Level Classification from Speech Using GRU-Mixer Architecture with Log-Mel Spectrogram Features

Background/Objectives: Automatic pain detection from speech signals holds strong promise for non-invasive and real-time assessment in clinical and caregiving settings, particularly for populations with limited capacity for self-report.
Adi Alhudhaif
core   +1 more source

Prediction of aero engine remaining service life using a bidirectional GRU model with self attention mechanism. [PDF]

Sci Rep
Fu W, Wang H, Sun X, Song Z, Xu S, Xu M, Liu L, Razak NA.   +7 more
europepmc   +1 more source

Protein Secondary Structure Prediction Using Convolutional Bidirectional GRU

Journal of Mathematics Research
In this paper, a protein secondary structure prediction method based on convolutional bidirectional GRU Model (CBi-GRU model) is adopted, which combines the advantages of sliding window in extracting local features of data. The use of CNN and Bi-GRU in the construction of the model improves the feature expression and data utilization, and improves the ...
openaire   +1 more source

Prediksi Harga Emas Menggunakan Model Bi-GRU Dengan Monte Carlo Dropout Berdasarkan Data Makroekonomi [PDF]

This study evaluates the performance of a Bidirectional Gated Recurrent Unit (BI-GRU) model combined with Monte Carlo Dropout for forecasting gold prices (XAU) using macroeconomic indicators such as CPI, DXY, S&P 500, and crude oil prices over the period
Prasetyo, Daniel Bergas
core  

Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]

Front Hum Neurosci
Manoswini M, Swain BR, Sahoo B, Gourisaria MK, Jha AV, Bizon N, Swetapadma A.   +6 more
europepmc   +1 more source

Optimized cross-attention GRU-transformer network with sooty tern algorithm for accurate solar power forecasting. [PDF]

Sci Rep
Usha N, Manoharan PS.
europepmc   +1 more source

Electricity consumption prediction using an advanced spatial-temporal deep learning framework. [PDF]

Sci Rep
A Palan V, N S.
europepmc   +1 more source

A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans. [PDF]

Sci Rep
Joshva AA, Balasubramanian VK, Murugappan M.   +2 more
europepmc   +1 more source