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Memory, Short-Term

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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one 40262076
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Algorithms Commerce Convolutional Neural Networks Humans Investments Memory, Short-Term Models, Economic Neural Networks, Computer
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A hybrid long short-term memory-convolutional neural network multi-stream deep learning model with Convolutional Block Attention Module incorporated for monkeypox detection.

Science progress 40152267
BackgroundMonkeypox (mpox) is a zoonotic infectious disease caused by the mpox virus and characterized by painful body lesions, fever, headaches, and exhaustion. Since the report of the first human case of mpox in Africa, there have been multiple out...
Animals Deep Learning Humans Memory, Short-Term Monkeypox virus Mpox, Monkeypox Neural Networks, Computer
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Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

PloS one 40100866
The Stability of the economy is always a great challenge across the world, especially in under developed countries. Many researchers have contributed to forecasting the Stock Market and controlling the situation to ensure economic stability over the ...
Commerce Deep Learning Forecasting Humans Investments Memory, Short-Term Models, Economic Neural Networks, Computer
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Memory flow-controlled knowledge tracing with three stages.

Neural networks : the official journal of the International Neural Network Society 40024049
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students' learning data to infer their knowledge acquisition and predict their future performance. Recent advancements in KT recognize the importance of memory...
Humans Knowledge Learning Memory Memory, Long-Term Memory, Short-Term Neural Networks, Computer
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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.

Scientific reports 40000767
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major ...
Air Pollutants Air Pollution China Cities Environmental Monitoring Humans Memory, Short-Term Neural Networks, Computer Ozone
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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine 39987666
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Algorithms Humans Intensive Care Units Logistic Models Memory, Short-Term Neural Networks, Computer Respiration Respiration, Artificial Support Vector Machine
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

Scientific reports 40140460
The Guided Imagery technique is reported to be used by therapists all over the world in order to increase the comfort of patients suffering from a variety of disorders from mental to oncology ones and proved to be successful in numerous of ways. Poss...
Adult Deep Learning Electroencephalography Female Humans Imagery, Psychotherapy Male Memory, Short-Term Neural Networks, Computer Signal Processing, Computer-Assisted Workload Young Adult
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Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks.

Nature neuroscience 40128390
The temporal order of a sequence of events has been thought to be reflected in the ordered firing of neurons at different phases of theta oscillations. Here we assess this by measuring single neuron activity (1,420 neurons) and local field potentials...
Action Potentials Adult Epilepsy Female Humans Male Memory, Short-Term Nerve Net Neural Networks, Computer Neurons Recurrent Neural Networks Temporal Lobe Theta Rhythm Young Adult
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks.

Biomedical engineering online 40176123
BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with motor impairments, while research on assistive crawling devices for rehabilitation training was still in its early stages. In particular, precisely gener...
Biomechanical Phenomena Elbow Joint Female Forecasting Humans Infant Knee Joint Male Memory, Short-Term Movement Neural Networks, Computer
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DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN.

PloS one 40367135
Software Defined Networking (SDN) is an emerging network architecture and management method, whose core idea is to separate the network control plane from the data transmission plane. It is precisely because of this characteristic that SDN controller...
Algorithms Computer Security Humans Memory, Short-Term Neural Networks, Computer Software
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