Results 1 to 10 of about 15,297,754 (301)
An improved long short term memory network for intrusion detection. [PDF]
PLoS One, 2023 Over the years, intrusion detection system has played a crucial role in network security by discovering attacks from network traffics and generating an alarm signal to be sent to the security team. Machine learning methods, e.g., Support Vector Machine, K Nearest Neighbour, have been used in building intrusion detection systems but such systems still ...
Awad AA, Ali AF, Gaber T.
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Hierarchical Long Short-Term Memory Network for Cyberattack Detection [PDF]
IEEE Access, 2020 With the continuous development of network technology, cyberattack detection mechanisms play a vital role in ensuring the security of computers and network systems.
Haixia Hou +7 more
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The analysis of bidirectional long short-term memory network model for construction of cultural gene map and information extraction [PDF]
Scientific ReportsTo create a cultural gene map and extract information, this paper introduces a two-way long and short-term memory network (LSTM) model and verifies it using Jinxiu Yao headwear as an example.
Xing Ding, Jing Wang
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Long Short-Term Memory Spiking Networks and Their Applications [PDF]
International Conference on Neuromorphic Systems 2020, 2020 Recent advances in event-based neuromorphic systems have resulted in significant interest in the use and development of spiking neural networks (SNNs). However, the non-differentiable nature of spiking neurons makes SNNs incompatible with conventional backpropagation techniques.
Ali Lotfi-Rezaabad, Sriram Vishwanath
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Optimization based Long Short Term Memory Network for Protein Structure Prediction
U.Porto Journal of Engineering, 2022 One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
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An Air Pollution Prediction Scheme Using Long Short Term Memory Neural Network Model [PDF]
E3S Web of Conferences, 2021 In order to establish countermeasures for air pollution, it is first necessary to accurately grasp the air pollution state and predict the cause and change trend of the pollution situation.
Kim Jongchol
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Frontiers in Energy Research, 2023 Solar photovoltaic power generation has the characteristics of intermittence and randomness, which makes it a challenge to accurately predict solar power generation power, and it is difficult to achieve the desired effect. Therefore, by fully considering
Wengang Chen +5 more
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Incremental Distribution Network Forecasting for Different Industries Based on Long and Short Term Memory Network [PDF]
E3S Web of Conferences, 2022 In order to improve the quantitative evaluation and prediction ability of power grid investment benefit and solve the optimization problem of investment rhythm caused by the increase of user load in the new park, an incremental distribution network load ...
Ji Yongshang +5 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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Classification of Variable Stars Light Curves Using Long Short Term Memory Network
Frontiers in Astronomy and Space Sciences, 2021 Owing to the current and upcoming extensive surveys studying the stellar variability, accurate and quicker methods are required for the astronomers to automate the classification of variable stars.
Saksham Bassi +2 more
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