Results 1 to 10 of about 5,073 (159)
A Deep Bidirectional LSTM-GRU Network Model for Automated Ciphertext Classification [PDF]
IEEE Access, 2022 Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) are a class of Recurrent Neural Networks (RNN) suitable for sequential data processing. Bidirectional LSTM (BLSTM) enables a better understanding of context by learning the future time steps ...
Hyunil Kim, Ongee Jeong, Inkyu Moon
exaly +5 more sources
Detection method of absence seizures based on Resnet and bidirectional GRU. [PDF]
Acta Epileptol, 2023 Abstract Background Epilepsy is a common chronic neurological disease. Its repeated seizure attacks have a great negative impact on patients’ physical and mental health. The diagnosis of epilepsy mainly depends on electroencephalogram (EEG) signals detection and analysis.
Li L +10 more
europepmc +4 more sources
Prediction of Proto-Oncogene Using Bidirectional GRU and Attention. [PDF]
Asian Pac J Cancer PrevOne of the key responsibilities of bioinformatics is now protein sequence prediction, thanks to the advancements in genome sequencing technology. The primary means of uncontrolled cancer growth is the absence of tumour suppression gene (TSG) regulatory ability and proto-oncogene (OG) mutations.
R D S, A BR.
europepmc +4 more sources
IEEE Access, 2019 In this paper, we propose a deep Recurrent Neural Networks (RNNs) based on Gated Recurrent Unit (GRU) in a bidirectional manner (BGRU) for human identification from electrocardiogram (ECG) based biometrics, a classification task which aims to identify a ...
Htet Myet Lynn +2 more
exaly +3 more sources
A Hierarchical Bidirectional GRU Model With Attention for EEG-Based Emotion Classification [PDF]
IEEE Access, 2019 In this paper, we propose a hierarchical bidirectional Gated Recurrent Unit (GRU) network with attention for human emotion classification from continues electroencephalogram (EEG) signals. The structure of the model mirrors the hierarchical structure of EEG signals, and the attention mechanism is used at two levels of EEG samples and epochs.
Jingxia Chen
exaly +3 more sources
Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models
Future Internet, 2022 In today’s world, phishing attacks are gradually increasing, resulting in individuals losing valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers craft malicious websites disguised as well-known, legitimate sites and send them to individuals to steal personal information and other related private details ...
Sanjiban Sekhar Roy +2 more
exaly +3 more sources
Attention-based bidirectional GRU networks for efficient HTTPS traffic classification
Information Sciences, 2020 Abstract Distributed and pervasive web services have become a major platform for sharing information. However, the hypertext transfer protocol secure (HTTPS), which is a crucial web encryption technology for protecting the information security of users, creates a supervisory burden for network management (e.g., quality-of-service guarantees and ...
Yulei Wu, Liangxiong Li, Jingguo Ge
exaly +3 more sources
Attention Pooling-Based Bidirectional GRU Model for Sentimental Classification
International Journal of Computational Intelligence SystemsRecurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-term dependencies.
Dejun Zhang +6 more
doaj +2 more sources
AB-GRU: An attention-based bidirectional GRU model for multimodal sentiment fusion and analysis
Mathematical Biosciences and Engineering, 2023 <abstract><p>Multimodal sentiment analysis is an important area of artificial intelligence. It integrates multiple modalities such as text, audio, video and image into a compact multimodal representation and obtains sentiment information from them.
Jun Wu +4 more
openaire +3 more sources
Exploring Pre-Trained Model and Language Model for Translating Image to Bahasa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the last decade, there have been significant developments in Image Caption Generation research to translate images into English descriptions. This task has also been conducted to produce texts in non-English, including Bahasa.
Ade Nurhopipah +2 more
doaj +1 more source