Results 21 to 30 of about 11,734,216 (296)
VCI-LSTM: Vector Choquet Integral-Based Long Short-Term Memory
IEEE Transactions on Fuzzy Systems, 2023 Choquet integral is a widely used aggregation operator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data. However, there are many cases where the information taken into account is vectorial, such as Long Short-Term Memories (LSTM).
Mikel Ferrero-Jaurrieta +7 more
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Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
, 2021 Datasets for Linear Probe Analysis presented in the paper: Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks by Lees et al (2021)
Thomas Lees
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EP‐LSTM: Novel prediction algorithm for moving object destination
IET Intelligent Transport Systems, 2021 Predicting the destination of a moving object is a popular research subject in location‐based services. By predicting destinations, suggestions can be offered to people regarding their trips.
Bingrong Li, Dechang Pi, Mengru Hou
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, 2023 Accurate global river discharge estimation is crucial for advancing our scientific understanding of the global water cycle and supporting various downstream applications.
Hartman, Robert +9 more
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Economic Nowcasting with Long Short-term Memory Artificial Neural Networks (LSTM) [PDF]
SSRN Electronic Journal, 2021 Abstract Artificial neural networks (ANNs) have been the catalyst to numerous advances in a variety of fields and disciplines in recent years. Their impact on economics, however, has been comparatively muted. One type of ANN, the long short-term memory network (LSTM), is particularly well-suited to deal with economic time-series. Here,
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IEEE Access, 2020 This paper proposes two novel vector decomposed neural network models for behavioral modeling and digital predistortion (DPD) of radio-frequency (RF) power amplifiers (PAs): vector decomposed long short-term memory (VDLSTM) model and simplified vector ...
Hongmin Li +3 more
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Authorship Obfuscation System Development based on Long Short-term Memory Algorithm
International Journal of Technology, 2022 Stylometry is an authorship analysis technique that uses statistics. Through stylometry, the authorship identity of a document can be analyzed with high accuracy. This poses a threat to the privacy of the author.
Hendrik Maulana, Riri Fitri Sari
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Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review. [PDF]
Polymers (Basel)This review explores the application of Long Short-Term Memory (LSTM) networks, a specialized type of recurrent neural network (RNN), in the field of polymeric sciences. LSTM networks have shown notable effectiveness in modeling sequential data and predicting time-series outcomes, which are essential for understanding complex molecular structures and ...
Malashin I +4 more
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Structure of long short term memory(LSTM).
, 2020 Structure of long short term memory(LSTM).
Changjun Zhou (451444) +2 more
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Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network [PDF]
, 2020 This paper aims to develop the long short-term memory (LSTM) network modelling strategy based on deep learning principles, tailored for the very short-term, near-real-time global solar radiation (GSR) forecasting.
Deo, Ravinesh C. +11 more
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