Results 1 to 10 of about 20,859 (261)
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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Frontiers in Earth Science, 2023 The prediction of reservoir parameters is the most important part of reservoir evaluation, and porosity is very important among many reservoir parameters.
Zhengjun Yu +4 more
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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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A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion
Information, 2021 Recurrent Neural Networks (RNNs) are known for their ability to learn relationships within temporal sequences. Gated Recurrent Unit (GRU) networks have found use in challenging time-dependent applications such as Natural Language Processing (NLP ...
Uche Onyekpe +3 more
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An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN).
Chunyang Liu +5 more
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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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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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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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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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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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