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Long Short-Term Memory Models
In this chapter, you will learn about recurrent neural networks (RNNs) and long short-term memory (LSTM) models. You will also learn how LSTMs work,...
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Short- and long-term temporal network prediction based on network memory
Temporal networks are networks whose topology changes over time. Two nodes in a temporal network are connected at a discrete time step only if they...
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Facade Layout Completion with Long Short-Term Memory Networks
In a workflow creating 3D city models, facades of buildings can be reconstructed from oblique aerial images for which the extrinsic and intrinsic...
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Detection and identification drones using long short-term memory and Bayesian optimization
This paper proposed a model based on bidirectional Long Short-Term Memory (Bi-LSTM) and Bayesian optimization to detect different drones in different...
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Long short-term memory prediction of user’s locomotion in virtual reality
Nowadays, there is still a challenge in virtual reality to obtain an accurate displacement prediction of the user. This could be a future key element...
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Load Demand Forecasting Using a Long-Short Term Memory Neural Network
Electric power load forecasting is very important for the operation and the planning of a utility company. Decisions of the electric market, electric...
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Feature selection based on long short term memory for text classification
The selection of discriminative terms from large quantity of terms in text documents is helpful for achieving better accuracy of text classification....
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Diabetes Prediction Using Bi-directional Long Short-Term Memory
The chronic nature of diabetes makes it the most complex and lethal health issue globally. This creates difficulties in managing this illness in the...
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An intrusion detection approach based on incremental long short-term memory
The notorious attacks of the last few years have propelled cyber security to the top of the boardroom agenda, and raised the level of criticality to...
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An efficient gene expression data classification using optimized bidirectional long short-term memory with self attention mechanism
In recent years, DNA microarray is a recent research technique aimed at classifying gene expression. This paper is to develop Optimal Bidirectional...
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Decomposition-based long short-term memory model for price forecasting of agricultural commodities
Accurate and reliable price forecasting of agricultural commodities is one of the research hotspots, as these prices are inherently complex and...
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Long-Short-Term Memory Based on Adaptive Convolutional Network for Time Series Classification
Deep learning technology is effective to solve time series classification tasks. The existing deep learning algorithms with fixed step convolution...
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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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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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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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Emotion Analysis of Weibo Based on Long Short-Term Memory Neural Network
This paper proposes a sentiment analysis method based on the Long Short-Term Memory (LSTM) neural network, which achieves sentiment polarity...
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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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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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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...
