Results 151 to 160 of about 9,795 (189)

Attention-Based Bi-LSTM for Chinese Named Entity Recognition

2018
As an integral part of deep learning, attention mechanism and bi-directional long short-term memory (Bi-LSTM) are widely used in the field of NLP (natural language processing) and their effectiveness has been well recognized. This paper adopts an attention-based Bi-LSTM approach to the question of Chinese NER (named entity recognition). With the use of
Kai Zhang, Weiping Ren, Yangsen Zhang
openaire   +1 more source

Bi-LSTM Model for Speech Recognition

2023 International Conference on Data Science and Network Security (ICDSNS), 2023
openaire   +1 more source

Clickbait Detection Using Bi-LSTM Model

2023 International Conference on Computational Intelligence for Information, Security and Communication Applications (CIISCA), 2023
Kapil Kumar Yadav, Nipun Bansal
openaire   +1 more source

Application of LSTM approach for modelling stress–strain behaviour of soil

Applied Soft Computing Journal, 2021
Ning Zhang, Shui-Long Shen, Annan Zhou   +2 more
exaly  

Violence Prediction System Using Bi-LSTM

2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), 2023
P. Sai Kiran, B Tirapathi Reddy, Goudu Vimal Keerthi, Venkata Subbarao Avanigadda, Chandrika Priyanka Vinnakota, Deekollu Aruna Sri   +5 more
openaire   +1 more source

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

Information Processing and Management, 2021
Ranjan Kumar Behera, Monalisa Jena, Santanu Kumar Rath   +2 more
exaly  

Host–Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2021
Xiangbo Shu, Liyan Zhang, Yunlian Sun
exaly  

D-Bi-LSTM: A double Bi-LSTM-based method for metro ridership prediction

2024 5th International Conference on Computer Engineering and Application (ICCEA)
Yong Luo, Yanping Tan, Lan Luan, Feng Tian   +3 more
openaire   +1 more source

Bi-LSTM Based LIB RUL Prediction

2026 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
Haejun Kim, Kibum Cheon, Jongho Shin
openaire   +1 more source

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Physica D: Nonlinear Phenomena, 2020
Alex Sherstinsky
exaly