Results 1 to 10 of about 80,089 (136)
Attention-enhanced gated recurrent unit for action recognition in tennis [PDF]
PeerJ Computer ScienceHuman Action Recognition (HAR) is an essential topic in computer vision and artificial intelligence, focused on the automatic identification and categorization of human actions or activities from video sequences or sensor data.
Meng Gao, Bingchun Ju
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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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Deep Gated Recurrent Unit for Smartphone-Based Image Captioning
Sakarya University Journal of Computer and Information Sciences, 2021 Expressing the visual content of an image in natural language form has gained relevance due to technological and algorithmic advances together with improved computational processing capacity.
Volkan Kılıç
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Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press
Energies, 2021 The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data.
Balduíno César Mateus +4 more
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Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]
Jisuanji gongcheng, 2020 Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
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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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Projected Minimal Gated Recurrent Unit for Speech Recognition
IEEE Access, 2020 Recurrent neural network (RNN) has the ability to learn long-term dependencies, which makes it suitable for acoustic modeling in speech recognition. In this paper, we revise RNN model used in acoustic modeling, namely, mGRUIP with Context module (mGRUIP ...
Renjian Feng +4 more
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Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti +4 more
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Highway Speed Prediction Using Gated Recurrent Unit Neural Networks
Applied Sciences, 2021 Movement analytics and mobility insights play a crucial role in urban planning and transportation management. The plethora of mobility data sources, such as GPS trajectories, poses new challenges and opportunities for understanding and predicting ...
Myeong-Hun Jeong +3 more
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