Results 21 to 30 of about 38,453 (306)
Context Information Fusion Method for Temporal Action Proposals
Jisuanji kexue yu tansuo, 2021 In the field of human activity localization and recognition in videos, the existing temporal action proposal methods have not solved the long-term dependence problem better, which results in lower recall rates of proposals.
WANG Xinwen, XIE Linbo, PENG Li
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Sensors, 2020 This paper proposes a real-time trajectory prediction method for quadrotors based on a bidirectional gated recurrent unit model. Historical trajectory data of ten types of quadrotors were obtained. The bidirectional gated recurrent units were constructed
Zhao Yang +4 more
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Text Sentiment Classification Based on BERT Embedding and Sliced Multi-Head Self-Attention Bi-GRU
Sensors, 2023 In the task of text sentiment analysis, the main problem that we face is that the traditional word vectors represent lack of polysemy, the Recurrent Neural Network cannot be trained in parallel, and the classification accuracy is not high.
Xiangsen Zhang +5 more
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Sentiment Analysis Using Stacked Gated Recurrent Unit for Arabic Tweets
IEEE Access, 2021 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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A multi-label text classification model based on ELMo and attention [PDF]
MATEC Web of Conferences, 2020 Text classification is a common application in natural language processing. We proposed a multi-label text classification model based on ELMo and attention mechanism which help solve the problem for the sentiment classification task that there is no ...
Liu Wenbin +4 more
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Journal of King Saud University: Computer and Information Sciences, 2022 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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IEEE Access, 2023 Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in modeling sequential data such as audio processing, video processing, time series analysis, and text mining.
Tariq Ahmad +5 more
semanticscholar +1 more source
Learning Video Object Segmentation with Visual Memory [PDF]
, 2017 This paper addresses the task of segmenting moving objects in unconstrained videos. We introduce a novel two-stream neural network with an explicit memory module to achieve this.
Alahari, Karteek +2 more
core +5 more sources
Multi-energy load forecasting model based on bi-directional gated recurrent unit multi-task neural network [PDF]
E3S Web of Conferences, 2021 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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Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit
Neurocomputing, 2021 Abstract Recently, toxicity identification has become the most serious problem in online communities and social networking sites. Therefore, an automatic toxic identification system needs to be developed for preventing and limiting users from these online environments.
Kumar, J. Ashok +3 more
openaire +2 more sources