Results 31 to 40 of about 2,719,560 (294)

Entity Relationship Extraction Based on a Multi-Neural Network Cooperation Model

Applied Sciences, 2023
Entity relation extraction mainly extracts relations from text, which is one of the important tasks of natural language processing. At present, some special fields have insufficient data; for example, agriculture, the metallurgical industry, etc.
Yibo Liu, Qingyun Zuo, Xu Wang, Teng Zong   +3 more
doaj   +1 more source

Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit [PDF]

2020 23rd International Conference on Computer and Information Technology (ICCIT), 2020
Accepted at ...
Al Momin Faruk, Hasan Al Faraby, Md. Muzahidul Azad, Md. Riduyan Fedous, Md. Kishor Morol   +4 more
openaire   +2 more sources

Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee–Carter Model

Big Data and Cognitive Computing, 2022
The Lee–Carter model could be considered as one of the most important mortality prediction models among stochastic models in the field of mortality.
Yuan Chen, Abdul Q. M. Khaliq
doaj   +1 more source

Traffic flow prediction using bi-directional gated recurrent unit method

, 2022
Traffic flow prediction plays an important role in intelligent transportation systems. To accurately capture the complex non-linear temporal characteristics of traffic flow, this paper adopts a Bi-directional Gated Recurrent Unit (Bi-GRU) model in ...
Wang, Shengyou, Zheng, Yan, Meng, Meng, Shao, Chunfu, Zhang, Jie   +4 more
core   +1 more source

Radar emitter signal recognition based on one-dimensional convolutional recurrent neural network

四川大学学报. 自然科学版, 2023
Aiming at the problem of incomplete features and low timeliness in artificial extraction of radar emitter signal, a novel recognition method is proposed based on one-dimension convolutional neural network and bidirectional gated recurrent unit.
LIU Tao-Tao, TIAN Chun-Jin, PU Yun-Wei, GUO Jiang   +3 more
doaj  

Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification

CoRR, 2017
6 pages, 1 ...
Jonggu Kim, Jong-Hyeok Lee
openaire   +2 more sources

XDOcc: An Explainable Artificial Intelligence Empowered Deep Framework for Occupancy Detection and Occupant Count Estimation

IEEE Access
This study introduces explainable deep occupancy, a robust framework empowered by explainable artificial intelligence for high-accuracy occupancy detection and occupant count estimation in smart buildings.
Zeynep Turgut
doaj   +1 more source

SPRATAMA MODEL FOR INDONESIAN PARAPHRASE DETECTION USING BIDIRECTIONAL LONG SHORT-TERM MEMORY AND BIDIRECTIONAL GATED RECURRENT UNIT

Media Statistika, 2023
Paraphrasing is a way to write sentences with other words with the same intent or purpose. Automatic paraphrase detection can be done using Natural Language Sentence Matching (NLSM) which is part of Natural Language Processing (NLP).
Titin Siswantining, Stanley Pratama, Devvi Sarwinda   +2 more
doaj   +1 more source

GAMMA-RAY BURST LIGHT CURVE RECONSTRUCTION WITH PREDICTIVE MODELS

Eurasian Physical Technical Journal
Gamma-ray bursts represent some of the most energetic and complex phenomena in the universe, characterized by highly variable light curves that often contain observational gaps.
A. Zhunuskanov, A. Sakan, A. Akhmetali, M. Zaidyn, N. Ussipov   +4 more
doaj   +1 more source

Mapping of the wind erodible fraction of soil by bidirectional gated recurrent unit (BiGRU) and bidirectional recurrent neural network (BiRNN) deep learning models

, 2023
The destructive consequences of wind erosion have been reported in many studies, but accurate assessment of wind erosion is still a challenge, especially on large scales.
Mohammadifar, Aliakbar, Ritsema, Coen, Mina, Monireh, Riksen, Michel J.P.M., Rezaei, Mahrooz, Gholami, Hamid   +5 more
core   +1 more source