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Bridge Structural Damage Identification Based on Parallel Multi-head Self-attention Mechanism and Bidirectional Long and Short-term Memory Network
To address the health monitoring challenges of bridge structures and identify suitable damage features, this paper initially denoises the input data...
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Enhancing well log curve synthesis with selective attention long short-term memory network
In geological exploration projects, well log curves, as the primary carriers of information, are prone to data defects due to geological conditions,...
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Twin attention based multi-task convolutional bidirectional long short term memory for facial expression recognition
Facial Expression Recognition (FER) aims to detect the emotional state of facial images. It is playing an increasingly important role in several...
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YAP_LSTM: yoga asana prediction using pose estimation and long short-term memory
Yoga is a healthy practice aimed at improving a person's physical, mental and spiritual well-being. Computational research is a great opportunity in...
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A forecast model of short-term wind speed based on the attention mechanism and long short-term memory
Gale is a kind of disaster weather, and the forecast of wind speed is a difficult point in operational weather forecast. In this study, we propose a...
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Proprioceptive short-term memory in passive motor learning
A physical trainer often physically guides a learner’s limbs to teach an ideal movement, giving the learner proprioceptive information about the...
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Employing Tuned VMD-Based Long Short-Term Memory Neural Network for Household Power Consumption Forecast
Estimating household power consumption energy usage patterns can assist households in planning and managing their power consumption. To address...
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Deformation prediction of rock cut slope based on long short-term memory neural network
The cut slope graben is affected by the lithology of strata, rainfall, and man-made excavation, which is a complex geotechnical system. Deformation...
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Long short-term enhanced memory for sequential recommendation
Sequential recommendation is a stream of studies on recommender systems, which focuses on predicting the next item a user interacts with by modeling...
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Robust Bidirectional Long Short-Term Memory-Based Class Imbalance Handling in Dyslexia Prediction at its Early Stage
Dyslexia is a neurological condition that presents difficulties and obstacles in learning, particularly in reading. Early diagnosis of dyslexia is...
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Attention-based bidirectional-long short-term memory for abnormal human activity detection
Abnormal human behavior must be monitored and controlled in today’s technology-driven era, since it may cause damage to society in the form of...
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Optimal Energy Distribution of Multi-Energy Sources in Fuel-Cell Electric Bus Using Long Short-Term Memory
Environmental issues such as air pollution and abnormal climate are global concerns. To overcome these problems, the automobile industry is...
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Enhancing heart disease detection in IoT: optimizing long short-term memory with enhanced jellyfish optimization
The Internet of Things (IoT) technology is currently being used in healthcare systems to collect sensor values for heart disease diagnosis and...
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Forecasting stock prices changes using long-short term memory neural network with symbolic genetic programming
This study introduces an augmented Long-Short Term Memory (LSTM) neural network architecture, integrating Symbolic Genetic Programming (SGP), with...
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Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle
TBM tunnelling attitude controlling is a significant issue for guaranteeing the tunnel fitting the expected tunnel axis, with directly influence the...
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Physical model and long short-term memory-based combined prediction of photovoltaic power generation
Solar energy is clean and pollution free. However, the evident intermittency and volatility of illumination make power systems uncertain. Therefore,...
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An efficient recognition of Handwritten Kannada Script using Variable Attention-based Coati Integrated Bi Directional Long Short-Term Memory
Handwritten Character Recognition (HCR) remains a challenging task in pattern identification, and there is a lack of extensive research on...
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A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation
Capacity estimation of lithium-ion batteries is significant to achieving the effective establishment of the prognostics and health management (PHM)...
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Chord-based music generation using long short-term memory neural networks in the context of artificial intelligence
With the rapid development of artificial intelligence (AI), music generation has gained widespread attention. Long short-term memory (LSTM) has...
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Rumors detection in social networks using dynamic graph-structured bi-directional long-short term memory technique
The rumor detection, several algorithms retrieve rumor attributes via textual semantics and the rumor's transmission structure. However, most of...
