Results 31 to 40 of about 38,453 (306)
Electronics, 2023 The bidirectional gated recurrent unit (BiGRU) method based on dissolved gas analysis (DGA) has been studied in the field of power transformer fault diagnosis.
Wanjie Lu, Chun Shi, H. Fu, Yaosong Xu
semanticscholar +1 more source
Indonesian Abstractive Text Summarization Using Bidirectional Gated Recurrent Unit
Procedia Computer Science, 2019 Abstract Abstractive text summarization is more challenging than the extractive one since it is performed by paraphrasing the entire contents of the text, which has a higher difficulty. But, it produces a more natural summary and higher inter-sentence cohesion.
Rike Adelia +2 more
openaire +1 more source
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 +3 more
doaj +1 more source
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
Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU
IEEE Access, 2019 Air pollution forecasting can provide reliable information about the future pollution situation, which is useful for an efficient operation of air pollution control and helps to plan for prevention.
Qing Tao +3 more
doaj +1 more source
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging [PDF]
, 2017 Audio tagging aims to perform multi-label classification on audio chunks and it is a newly proposed task in the Detection and Classification of Acoustic Scenes and Events 2016 (DCASE 2016) challenge.
Huang, Qiang +4 more
core +2 more sources
Recurrent Memory Networks for Language Modeling [PDF]
, 2016 Recurrent Neural Networks (RNN) have obtained excellent result in many natural language processing (NLP) tasks. However, understanding and interpreting the source of this success remains a challenge.
Bisazza, Arianna +2 more
core +2 more sources
Bidirectional gated recurrent unit for improving classification in credit card fraud detection
Indonesian Journal of Electrical Engineering and Computer Science, 2021 <p>In recent years, the use of credit cards around the world has grown enormously. Thus, the number of fraud cases have also increased, resulting in losses of thousands of dollars worldwide. Therefore, it is mandatory to use techniques that are able to assist in the detection of credit card fraud.
Imane Sadgali +2 more
openaire +2 more sources
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 +2 more
doaj +1 more source
IEEE Access, 2021 Traditional aerial target tactical intention recognition is based on a single moment of reasoning, while actual battlefield target tactical intention is realized by a series of actions, so the target state reflects dynamic and temporal variation.
Fei Teng +3 more
doaj +1 more source