Optimizing RNNs for EMG Signal Classification: A Novel Strategy Using Grey Wolf Optimization
Accurate classification of electromyographic (EMG) signals is vital in biomedical applications. This study evaluates different architectures of recurrent neural networks for the classification of EMG signals associated with five movements of the right ...
Marcos Aviles +4 more
doaj +1 more source
Prediction of boiler water quality in the petrochemical industry based on BiLSTM-GRU model
In order to effectively monitor the changes in boiler water quality during the petrochemical process and optimize the water treatment process, a BiLSTM-GRU model combining bidirectional long short-term memory(BiLSTM) and gated recurrent unit (GRU) was ...
CHEN Yao +5 more
doaj +1 more source
Content-Based Filtering in Recommendation Systems Culinary Tourism Based on Twitter (X) Using Bidirectional Gated Recurrent Unit (Bi-GRU) [PDF]
To address the challenge of information overload in the rapidly expanding culinary sector, a recommendation system using Content-Based Filtering (CBF) and the Bidirectional Gated Recurrent Unit (Bi-GRU) algorithm was developed. This system can help users
Setiawan, Erwin Budi +1 more
core +1 more source
The aim of aspect-level sentiment analysis is to identify the sentiment polarity of a given target term in sentences. Existing neural network models provide a useful account of how to judge the polarity. However, context relative position information for
Tian Yang +4 more
core +1 more source
Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble
Protein-protein interactions is essential for cellular processes in all organisms. The accurate in-silico identification of these interactions is a significant area of research in biology-related fields, which is crucial for protein function prediction and drug design.
Qiuhong Lan +4 more
openaire +3 more sources
One of the most important parameters in the design and implementation of drip irrigation systems is the accurate prediction of the wetting dimensions pattern around the emitters, which leads to the precise determination of the distance between the ...
Karimi, Bakhtiar +5 more
core +1 more source
Correction: Detection method of absence seizures based on Resnet and bidirectional GRU. [PDF]
Li L +10 more
europepmc +1 more source
A novel network security situation assessment model based on multiple strategies whale optimization algorithm and bidirectional GRU. [PDF]
Zhang S, Fu Q, An D, He Z, Liu Z.
europepmc +1 more source
Fatigue Detection from 3D Motion Capture Data Using a Bidirectional GRU with Attention
Exercise-induced fatigue can degrade athletic performance and increase injury risk, yet traditional fatigue assessments often rely on subjective measures.
Xueyi Liu, Ziyang Wang, Yikang Wang
core +1 more source
Enhancing Electrical Load Prediction Using a Bidirectional LSTM Neural Network
Precise anticipation of electrical demand holds crucial importance for the optimal operation of power systems and the effective management of energy markets within the domain of energy planning.
Evangelos Makris +4 more
core +1 more source

