Results 161 to 170 of about 6,008 (208)

Bidirectional GRU networks‐based next POI category prediction for healthcare

open access: yesInternational Journal of Intelligent Systems, 2021
The Corona Virus Disease 2019 has a great impact on public health and public psychology. People stay at home for a long time and rarely go out. With the improvement of the epidemic situation, people began to go to different places to check in. To maintain public mental health, it is necessary to propose a point-of-interest (POI) prediction model which ...
Yuwen Liu 0003   +7 more
openaire   +2 more sources

Arabic Named Entity Recognition: A Bidirectional GRU-CRF Approach

open access: yes, 2018
The previous Named Entity Recognition (NER) models for Modern Standard Arabic (MSA) rely heavily on the use of features and gazetteers, which is time consuming. In this paper, we introduce a novel neural network architecture based on bidirectional Gated Recurrent Unit (GRU) combined with Conditional Random Fields (CRF).
Mourad Gridach, Hatem Haddad
openaire   +3 more sources

Accurate Heart Beat Detection with Doppler Radar using Bidirectional GRU Network

open access: yes2023 IEEE Radio and Wireless Symposium (RWS), 2023
Heart rate is one of the most critical and important vital signs in healthcare. While electrocardiography (ECG) is gold-standard procedure for heart rate monitoring, contactless monitoring is preferred in many applications like long-term monitoring. Radar systems enable contactless sensing by measuring small movements on the chest induced by the heart ...
Hui Lu   +5 more
openaire   +2 more sources

Wave Forecast using Bidirectional GRU and GRU Method Case Study in Pangandaran, Indonesia

2022 International Conference on Data Science and Its Applications (ICoDSA), 2022
Didit Adytia
exaly   +2 more sources

Bidirectional GRU Based Autoencoder for Dimensionality Reduction in Hyperspectral Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Hyperspectral images (HSI) are being extensively used in land use/land cover classification because they possess high spectral resolution. Although, this leads to better reflectance distinguishability, the problem of high dimensionality also occurs, making the algorithms data greedy.
Shivam Pande, Biplab Banerjee
openaire   +1 more source

Aspect Extraction with Bidirectional GRU and CRF

2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF), 2019
Opinion mining or sentiment analysis used to understand the community's opinions on a particular product. Sentiment analysis involves building the opinion collection and classification system. One of the most crucial tasks of sentiment analysis is the ability to extract aspects or features that opinions expressed on.
Trang Uyen Tran   +2 more
openaire   +1 more source

Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU

open access: yesIEEE Internet of Things Journal
Precise and real-time prediction of future network attacks can not only prompt cloud infrastructures to fast respond and protect network security but also prevents economic and business losses.
Jing Bi 0001   +4 more
openaire   +2 more sources

Sentiment Analysis Based on the BERT and Bidirectional GRU Model

2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE)
Siyu Yao, Jianlong Bi
exaly   +2 more sources

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