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Recurrent Neural Networks (RNNs): Capturing the Dynamics of Sequences
International ...Bhuyan, Bikram Pratim +3 more
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Recurrent Neural Networks (RNNs) for Predictive Analytics
2023Phillip A. Laplante +1 more
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Forecasting Demand Using Recurrent Neural Networks (RNN)
This study explores the pervasive role of recurrent neural networks (RNNs) in demand forecasting, emphasizing their adaptability across diverse industries. Drawing on comprehensive reviews by Johnson and methodological advancements outlined by Brownlee, the research validates RNN effectiveness beyond sector-specific applications.openaire +1 more source
From CP-FFT to CP-RNN: Recurrent neural network surrogate model of crystal plasticity
International Journal of Plasticity, 2022Colin Bonatti, Dirk Mohr
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CS-RNN: efficient training of recurrent neural networks with continuous skips
Neural Computing and Applications, 2022Tianyu Chen, Sheng Li 0011, Jun Yan 0007
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TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization
IEEE Transactions on Industrial Electronics, 2021Xuelong Li, Xiaoqiang Lu, Xuelong Li
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OPT-RNN-DBSVM: OPTimal Recurrent Neural Network and Density-Based Support Vector Machine
Mathematics, 2023Adrian Olaru +2 more
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Music Generation for Novices Using Recurrent Neural Network (RNN)
2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2021Sahreen Sajad, S Dharshika, Merin Meleet
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