Results 21 to 30 of about 5,951 (240)
Sentiment Analysis Using Stacked Gated Recurrent Unit for Arabic Tweets
Over the last decade, the amount of Arabic content created on websites and social media has grown significantly. Opinions are shared openly and freely on social media, a process that provides a rich source for trend analyses.
Asma Al Wazrah, Sarah Alhumoud
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In recent years, ensuring the stability of the huge volume of data generated by billions of users has become the main concern in the field of cyber security.
Pritom Biswas Udas +2 more
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Multi-energy load forecasting model based on bi-directional gated recurrent unit multi-task neural network [PDF]
The complex coupling, coordination and complementarity of different energy in the integrated energy system puts forward higher requirements for the technology of multi-energy load forecasting.
Zheng Zhijie +5 more
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Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit [PDF]
Accepted at ...
Al Momin Faruk +4 more
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Entity Relationship Extraction Based on a Multi-Neural Network Cooperation Model
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
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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
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Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU
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
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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
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Radar emitter signal recognition based on one-dimensional convolutional recurrent neural network
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 +3 more
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