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  1. Long Short-Term Memory Network - an overview - ScienceDirect

    Long Short-Term Memory Network - an overview - ScienceDirect

  2. RNN-LSTM: From applications to modeling techniques and …

    Jun 1, 2024 · Long Short-Term Memory (LSTM) is a popular Recurrent Neural Network (RNN) algorithm known for its ability to effectively analyze and process sequentia…

  3. Long Short-Term Memory - an overview | ScienceDirect Topics

    Long Short-Term Memory - an overview | ScienceDirect Topics

  4. A survey on long short-term memory networks for time series …

    Jan 1, 2021 · Recurrent neural networks and exceedingly Long short-term memory (LSTM) have been investigated intensively in recent years due to their ability to mod…

  5. Fundamentals of Recurrent Neural Network (RNN) and Long Short …

    Mar 1, 2020 · Since the original 1997 LSTM paper [1], numerous theoretical and experimental works have been published on the subject of this type of an RNN, many of them reporting on …

  6. Load forecasting method based on CNN and extended LSTM

    Dec 1, 2024 · With the continuous development of power systems and the growing demand, accurate power load prediction has become essential to ensure stable system o…

  7. A survey on anomaly detection for technical systems using LSTM …

    Oct 1, 2021 · Anomalies represent deviations from the intended system operation and can lead to decreased efficiency as well as partial or complete system failure. …

  8. Performance analysis of neural network architectures for time …

    Dec 1, 2025 · Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRUs) have gained significant popularity in time …

  9. Singular Value Decomposition-based lightweight LSTM for time …

    Long–short-term memory (LSTM) neural networks are known for their exceptional performance in various domains, particularly in handling time series dat…

  10. A cellular automata model coupled with partitioning CNN-LSTM …

    Feb 1, 2024 · Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is crucial for sustainable development. Cellular automata…