[HTML][HTML] A real-time CNN–BiLSTM-based classifier for patient-centered AR-SSVEP active rehabilitation exoskeleton system
Z An, F Wang, Y Wen, F Hu, S Han - Expert Systems with Applications, 2024 - Elsevier
The rehabilitation of stroke has brought a serious social burden to many countries. The
augmented reality steady-state visually evoked potential (AR-SSVEP) exoskeleton …
augmented reality steady-state visually evoked potential (AR-SSVEP) exoskeleton …
Intelligent recognition of key earthquake emergency Chinese information based on the optimized BERT-BiLSTM-CRF algorithm
To address the problems of the text of earthquake emergency information keeps changing
incrementally with the time of an earthquake's occurrence and there being more and more …
incrementally with the time of an earthquake's occurrence and there being more and more …
Improving Named Entity Recognition in Bahasa Indonesia with Transformer-Word2Vec-CNN-Attention Model.
E Noersasongko - International Journal of Intelligent …, 2023 - search.ebscohost.com
Named entity recognition (NER) is one of the topics that get the attention of NLP (natural
language processing) researchers. Most NER research uses English datasets in other …
language processing) researchers. Most NER research uses English datasets in other …
Systematic Literature Review on Named Entity Recognition: Approach, Method, and Application
Named entity recognition (NER) is one of the preprocessing stages in natural language
processing (NLP), which functions to detect and classify entities in the corpus. NER results …
processing (NLP), which functions to detect and classify entities in the corpus. NER results …
Modelling Time Series Data for Stock Prices Prediction Using Bidirectional Long Short-Term Memory
Y Syukriyah, A Purnama - … : International Journal of …, 2024 - ejournal.uinbukittinggi.ac.id
The dynamic nature of stock markets, characterized by intricate patterns and sudden
fluctuations, poses significant challenges to accurate price prediction. Traditional analytical …
fluctuations, poses significant challenges to accurate price prediction. Traditional analytical …
Marine Shellfish Entity Recognition Based on BiLSTM-CRF Model
Y Ao, Y Zhang, H Tang - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
Named entity recognition is an important research area in natural language processing. For
marine shellfish biological identification tasks, this article builds a Bilstm-CRF model for …
marine shellfish biological identification tasks, this article builds a Bilstm-CRF model for …
The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus
Information extraction is one of the core fundamentals of natural language processing.
Different recurrent neural network-based models have been implemented to perform text …
Different recurrent neural network-based models have been implemented to perform text …