Results 1 to 10 of about 13,592 (226)
Residual and bidirectional LSTM for epileptic seizure detection [PDF]
Frontiers in Computational NeuroscienceElectroencephalogram (EEG) plays a pivotal role in the detection and analysis of epileptic seizures, which affects over 70 million people in the world. Nonetheless, the visual interpretation of EEG signals for epilepsy detection is laborious and time-consuming.
Wang Wen-Feng
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Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models
Future Internet, 2022 In today’s world, phishing attacks are gradually increasing, resulting in individuals losing valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers craft malicious websites disguised as well-known, legitimate sites
Sanjiban Sekhar Roy +4 more
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Novel Dual Residual-Enhanced Deep Bidirectional LSTM Network for Soft Sensing of Rare Earth Component Content [PDF]
SensorsLong short-term memory (LSTM) networks demonstrate superior time-series feature extraction capabilities and have exhibited significant advantages in the soft sensing of key indicators in complex industrial processes.
Wenhao Dai +3 more
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Seizure Prediction Using Bidirectional LSTM [PDF]
Communications in Computer and Information Science, 2019 Approximately, 50 million people in the world are affected by epilepsy. For patients, the anti-epileptic drugs are not always useful and these drugs may have undesired side effects on a patient's health. If the seizure is predicted the patients will have enough time to take preventive measures. The purpose of this work is to investigate the application
Hazrat Ali +2 more
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Emoji Prediction Using Bi-Directional LSTM [PDF]
ITM Web of Conferences, 2023 Messengers and social media dominate today’s internet usage across the globe. For the large population, a typical day starts with messages flooding on mobiles, from simple good morning wishes, business meeting invites, reminders, and schedules for the ...
Kone Vinayak Sudhakar +4 more
doaj +1 more source
Synthesizing Mesh Deformation Sequences With Bidirectional LSTM [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 Synthesizing realistic 3D mesh deformation sequences is a challenging but important task in computer animation. To achieve this, researchers have long been focusing on shape analysis to develop new interpolation and extrapolation techniques. However, such techniques have limited learning capabilities and therefore often produce unrealistic deformation.
Yi-Ling Qiao +3 more
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Image captioning using bidirectional LSTM neural network
Discover Artificial IntelligenceAutomatic image captioning is a crucial task in image processing and machine vision, where images are segmented into regions, and captions are assigned based on shared attributes.
Farnaz Hoseini, Anaram Yaghoobi Notash
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Real-Time Monitoring for Hydraulic States Based on Convolutional Bidirectional LSTM with Attention Mechanism [PDF]
Sensors, 2020 Jongpil Jeong, Jeong Jongpil
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BS-LSTM: An Ensemble Recurrent Approach to Forecasting Soil Movements in the Real World
Frontiers in Earth Science, 2021 Machine learning (ML) proposes an extensive range of techniques, which could be applied to forecasting soil movements using historical soil movements and other variables.
Praveen Kumar +4 more
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Disfluency Detection Using a Bidirectional LSTM [PDF]
Interspeech 2016, 2016 We introduce a new approach for disfluency detection using a Bidirectional Long-Short Term Memory neural network (BLSTM). In addition to the word sequence, the model takes as input pattern match features that were developed to reduce sensitivity to vocabulary size in training, which lead to improved performance over the word sequence alone.
Vicky Zayats +2 more
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