Results 241 to 250 of about 38,453 (306)

Inter-Person Relation Classification via AttentionBased Bidirectional Gated Recurrent Unit

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019
Relation classification is a fundamental ingredient in various information extraction systems. To extract personal entity relation from Chinese text, a novel deep neural network architecture is proposed this paper, which employs bidirectional Gated Recurrent Unit (Bi-GRU) by adding attention mechanism to capture important semantic information in a ...
Dandan Zhao, Degen Huang, jiana Meng, Jing Zhang, Shichang Sun, Yuhai Yu   +5 more
openaire   +1 more source

Bangla Text Generation Using Bidirectional Optimized Gated Recurrent Unit Network

2020
Natural language processing is a vital branch of Artificial Intelligence, a bridge to communicate between computer and human in their languages and is used to generate automatic text, summarize articles, machine translation, etc. In this paper, we proposed a model of Bangla sentence generation that uses the Optimized Gated Recurrent Unit network based ...
Nahid Ibne Akhtar, Kh. Mohimenul Islam Shazol, Rifat Rahman, Mohammad Abu Yousuf   +3 more
openaire   +1 more source

Hate Speech Detection in Indonesian Twitter Texts using Bidirectional Gated Recurrent Unit

2021 13th International Conference on Knowledge and Smart Technology (KST), 2021
As the number of social media users rises, the probability of hate speech spread in social media also rises indirectly. Hate speech has become one of most common cases found on social media. The spread of hate speech can lead to a riot that might cause conflict, group extermination, and even human casualties.
Angela Marpaung, Rita Rismala, Hani Nurrahmi   +2 more
openaire   +1 more source

Knowledge Graph Embedding With Graph Convolutional Network and Bidirectional Gated Recurrent Unit for Fault Diagnosis of Industrial Processes

IEEE Sensors Journal
The stability and reliability of modern industrial processes are key factors in ensuring production safety and achieving high quality and efficiency. Complex industrial processes are characterized by dynamics, nonlinearity, and multivariable coupling ...
Jie Dong, Cuiping Chen, Chi Zhang, Jinyao Ma, Kai-xiang Peng   +4 more
semanticscholar   +1 more source

Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction

IEEE Transactions on Artificial Intelligence, 2022
High-quality interval prediction is helpful to accurately capture the uncertainty of wind power generation and provide support to grid dispatchers and operators.
Fang Liu, Qingchuan Tao, Dechang Yang, Denis Sidorov   +3 more
semanticscholar   +1 more source

Bidirectional Gated Recurrent Units For Human Activity Recognition Using Accelerometer Data

2019 IEEE SENSORS, 2019
Human activity recognition aims to detect the type of human movement based on sensor data gathered during human activity. Time series classification using deep learning approaches offers opportunities to avoid intensive handcrafted feature extraction techniques where the efficiency and the accuracy are heavily dependent on the quality of variables ...
Tamam Alsarhan, Luay Alawneh, Mohammad Al-Zinati, Mahmoud Al-Ayyoub   +3 more
openaire   +1 more source

A Novel Bidirectional Gated Recurrent Unit-Based Soft Sensor Modeling Framework for Quality Prediction in Manufacturing Processes

IEEE Sensors Journal, 2022
Quality prediction is very important for improving the accuracy of quality control and the stability of product quality in manufacturing processes. However, the complex time series with high dimension, nonlinearity, and dynamics brings great challenges ...
Liang Ma, Mengwei Wang, Kai-xiang Peng
semanticscholar   +1 more source

Attention-based bidirectional gated recurrent unit neural networks for sentiment analysis

Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019
Sentiment analysis is an important research direction of natural language processing. In-depth exploration of online textual emotional information has great social significance social and commercial value for market research, online public opinion discovery and early warning.
Qing Yu, Hui Zhao, Zuohua Wang
openaire   +1 more source

Deep Bidirectional Gated Recurrent Unit for Botnet Detection in Smart Homes

2021
Bidirectional gated recurrent unit (BGRU) can learn hierarchical feature representations from both past and future information to perform multi-class classification. However, its classification performance largely depends on the choice of model hyperparameters. In this paper, we propose a methodology to select optimal BGRU hyperparameters for efficient
Segun I. Popoola, Ruth Ande, Kassim B. Fatai, Bamidele Adebisi   +3 more
openaire   +1 more source

Lithology Classification System for Well Logging Based on Bidirectional Gated Recurrent Unit

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences the production efficiency.
Rui Zhou, Xiaoqing Hu, Biao Yuan, Quanwei Xu   +3 more
openaire   +1 more source