Results 41 to 50 of about 2,212,722 (355)
Intrusion detection systems using long short-term memory (LSTM)
Journal of Big Data, 2021 An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or policy violations. It scans a network or a system for a harmful activity or security breaching. IDS protects networks (Network-based
FatimaEzzahra Laghrissi +3 more
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Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network [PDF]
Hydrology and Earth System Sciences, 2020 . Long Short-Term Memory (LSTM) networks have been applied to daily discharge prediction with remarkable success. Many practical applications, however, require predictions at more granular timescales.
M. Gauch +5 more
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A long short-term memory network for vessel reconstruction based on laser doppler flowmetry via a steerable needle [PDF]
, 2019 Hemorrhage is one risk of percutaneous intervention in the brain that can be life-threatening. Steerable needles can avoid blood vessels thanks to their ability to follow curvilinear paths, although knowledge of vessel pose is required.
Rodriguez y Baena, F, Virdyawan, V
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Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2015 This paper develops a model that addresses sentence embedding, a hot topic in current natural language processing research, using recurrent neural networks (RNN) with Long Short-Term Memory (LSTM) cells.
Hamid Palangi +7 more
semanticscholar +1 more source
Applied Sciences, 2021 The Electric Energy Consumption Prediction (EECP) is a complex and important process in an intelligent energy management system and its importance has been increasing rapidly due to technological developments and human population growth.
Simran Kaur Hora +4 more
semanticscholar +1 more source
IET Generation, Transmission & Distribution, 2021 Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
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Scientific Reports, 2021 Streamflow (Qflow) prediction is one of the essential steps for the reliable and robust water resources planning and management. It is highly vital for hydropower operation, agricultural planning, and flood control.
Sujan Ghimire +5 more
semanticscholar +1 more source
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
Computers, 2022 Humans can portray different expressions contrary to their emotional state of mind. Therefore, it is difficult to judge humans’ real emotional state simply by judging their physical appearance.
Shashi Kumar G. S. +3 more
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Evolving Long Short-Term Memory Networks [PDF]
, 2020 Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. Despite the success, such techniques still suffer from some shortcomings, such as the sensitivity to their hyperparameters, whose ...
Vicente Coelho Lobo Neto +2 more
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Get the gist? The effects of processing depth on false recognition in short-term and long-term memory [PDF]
, 2014 Gist-based processing has been proposed to account for robust false memories in the converging-associates task. The deep-encoding processes known to enhance verbatim memory also strengthen gist memory and increase distortions of long-term memory (LTM ...
Flegal, Kristin E. +1 more
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