Results 11 to 20 of about 6,021 (251)
Position-Enhanced Multi-Head Self-Attention Based Bidirectional Gated Recurrent Unit for Aspect-Level Sentiment Classification [PDF]
Frontiers in Psychology, 2022 Aspect-level sentiment classification (ASC) is an interesting and challenging research task to identify the sentiment polarities of aspect words in sentences.
Xianyong Li +4 more
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Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection. [PDF]
PLoS ONE, 2022 With the development of recent years, the field of deep learning has made great progress. Compared with the traditional machine learning algorithm, deep learning can better find the rules in the data and achieve better fitting effect.
Qihang Zhou, Changjun Zhou, Xiao Wang
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A hybrid AI approach for predicting academic performance in RBE students [PDF]
Frontiers in Artificial IntelligenceMachine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of machine learning algorithms to predict performance in ...
Willy Gonzales +5 more
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IEEE Access, 2018 Many keywords in a sentence that represents the semantic propensity of the sentence. These words can exist anywhere in the sentence, which poses a great challenge to sentence semantic classification.
Dejun Zhang +5 more
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Identifying Essential Proteins by Hybrid Deep Learning Model [PDF]
Jisuanji kexue, 2021 Essential proteins are those proteins that are essential to the viability of the organism.The identification of essential proteins helps to understand the minimum requirements of cell life,discover disease-causing genes and drug targets,and is of great ...
LIU Wen-yang, GUO Yan-bu, LI Wei-hua
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IEEE Access, 2022 Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss.
Pamir +5 more
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Research on power system fault prediction based on GA-CNN-BiGRU
Frontiers in Energy Research, 2023 Introduction: This paper proposes a power system fault prediction method that utilizes a GA-CNN-BiGRU model. The model combines a genetic algorithm (GA), a convolutional neural network (CNN), and a bi-directional gated recurrent unit network ...
Daohua Zhang +3 more
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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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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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