Results 11 to 20 of about 53,216 (300)
DB-RNN: An RNN for Precipitation Nowcasting Deblurring
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPrecipitation nowcasting based on artificial intelligence has garnered widespread attention in the meteorological and computer communities in recent years. While new models are continuously proposed to refresh the forecasting performance, the problem of gradual blurring of forecast maps as the forecast period extends is still serious.
Zhifeng Ma, Hao Zhang 0016, Jie Liu 0001
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CoRRThe advent of Transformers marked a significant breakthrough in sequence modelling, providing a highly performant architecture capable of leveraging GPU parallelism. However, Transformers are computationally expensive at inference time, limiting their applications, particularly in low-resource settings (e.g., mobile and embedded devices).
Leo Feng +5 more
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, 2023 The repository for my ICGI 2023 paper: Learning Transductions and Alignments with RNN Seq2seq ...
Zhengxiang Wang
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Artificial Intelligence-Driven Inverse Design of Singlet Fission Candidates in the Acene family. [PDF]
Adv Sci (Weinh)In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Uceda RG +9 more
europepmc +2 more sources
, 2023 Music performance action generation can be applied in multiple real-world scenarios as a research hotspot in computer vision and cross-sequence analysis.
Yi Wang (32470)
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dscheepens/Deep-RNN-for-extreme-wind-speed-prediction: v1.0.0-alpha
, 2022 Paper code for "An adapted convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy ...
Daan Scheepens
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RNN-Q test performances for PHQ-9 and GAD-7 at different time intervals and across user subgroups.
, 2023 RNN-Q test performances for PHQ-9 and GAD-7 at different time intervals and across user subgroups.
Usman Munir (17457911) +13 more
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Unfolding Sarcasm in Twitter Using C-RNN Approach
, 2021 Sarcasm detection in text is an inspiring field to explore due to its contradictory behavior. Textual data can be analyzed in order to discover clues those lead to sarcasm.
Akash Mehta, Dutta, Shawni
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CoRR, 2014 Sequence prediction and classification are ubiquitous and challenging problems in machine learning that can require identifying complex dependencies between temporally distant inputs. Recurrent Neural Networks (RNNs) have the ability, in theory, to cope with these temporal dependencies by virtue of the short-term memory implemented by their recurrent ...
Jan Koutník +3 more
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, 2023 We evaluate our predictions from these two models by stratifying according to the number of measurements available at the time of prediction, to visualize their performance over time.
Usman Munir (17457911) +13 more
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