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Long-term and short-term memory networks based on forgetting memristors
The hardware circuit of neural network based on forgetting memristors not only has the characteristics of high computational efficiency and low power...
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Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters
Electricity load forecasting is an essential operation of the power system. Deep learning is used to improve accurate electricity load forecasting....
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Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm
Traffic speed prediction has implications for urban planning, congestion reduction, and intelligent control systems. To maintain a uniform traffic...
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State of Charge Estimation of Lithium-Ion Batteries Using Long Short-Term Memory and Bi-directional Long Short-Term Memory Neural Networks
This research proposes a data-driven method for estimating the state of charge of lithium-ion batteries using two neural networks, namely long...
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Develo** a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting
Long-term wind power forecasting is a challenging endeavor that requires predictions that span years into the future. Accurate forecasting is crucial...
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Short-Term Load Forecasting for Commercial Building Using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Network with Similar Day Selection Model
Load forecasting is essential in power systems for reliable and efficient energy planning and operation. Commercial buildings usually account for 20%...
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Linear-layer-enhanced quantum long short-term memory for carbon price forecasting
Accurate carbon price forecasting is important for investors and policymakers to make decisions in the carbon market. With the development of quantum...
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Air Pollution Prediction Using Long Short-Term Memory Variants
Air pollution is an unresolved environmental problem that poses a health threat in many countries. Nearly 90% of the global population is exposed to...
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Convolution Neural Network Bidirectional Long Short-Term Memory for Heartbeat Arrhythmia Classification
Arrhythmia is a heart condition that poses a severe threat to life and requires prompt medical attention. One of the challenges in detecting...
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Long Short-Term Memory (LSTM) Based Model for Flood Forecasting in **angjiang River
Due to rapid development, the occurrence of flood has become more and more frequent. However, due to the complex nature and limited knowledge, the...
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Dog behaviors identification model using ensemble convolutional neural long short-term memory networks
This paper presents a new model based on Convolutional Neural Networks (CNN) with a long short-term memory network (LSTM) and ensemble technique for...
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Maintenance Prediction Based on Long Short-Term Memory Algorithm
Predictive maintenance is a prominent strategy that plays a key role in reducing the maintenance costs in manufacturing systems. It allows minimizing...
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Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine
As climate change increases the risk of extreme rainfall events, concerns over flood management have also increased. To recover quickly from flood...
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Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging
In recent years, deep learning techniques have presented a major role in hyperspectral image (HSI) classification. Most commonly Convolutional Neural...
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An energy prediction approach using bi-directional long short-term memory for a hydropower plant in Laos
Hydropower remains the largest source of renewable electricity while most hydropower plants, especially commercial hydropower plants, require...
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Indian Stock Price Prediction Using Long Short-Term Memory
In recent years, numerous researchers across the world have developed various methods for predicting stock prices. However, the accuracy of these...
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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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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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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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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...