AIMC Topic: 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 Apr 22, 2025
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-...
Commerce Convolutional Neural Networks Investments Memory, Short-Term Models, Economic Humans Neural Networks, Computer Algorithms
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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 Apr 2, 2025
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...
Infant Elbow Joint Female Memory, Short-Term Knee Joint Biomechanical Phenomena Humans Male Movement Neural Networks, Computer Forecasting
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Automated mitochondrial oxygen consumption (mitoVO) analysis via a bi-directional long short-term memory neural network.

Journal of clinical monitoring and computing Mar 30, 2025
Monitoring in vivo mitochondrial oxygen tension (mitoPO) enables the measurement of mitochondrial oxygen consumption (mitoVO), providing deeper insights into the skin's mitochondrial environment. However, current mitoVO analysis often relies on manua...
Reproducibility of Results Male Monitoring, Physiologic Neural Networks, Computer Software Algorithms Skin Bayes Theorem Memory, Short-Term Mitochondria Oxygen Humans Automation Oxygen Consumption
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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 Mar 28, 2025
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...
Memory, Short-Term Mpox, Monkeypox Monkeypox virus Humans Neural Networks, Computer Animals Deep Learning
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

Scientific reports Mar 27, 2025
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...
Electroencephalography Signal Processing, Computer-Assisted Memory, Short-Term Workload Imagery, Psychotherapy Adult Male Deep Learning Neural Networks, Computer Female Young Adult Humans
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Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks.

Nature neuroscience Mar 24, 2025
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...
Adult Male Action Potentials Neural Networks, Computer Female Young Adult Nerve Net Temporal Lobe Theta Rhythm Recurrent Neural Networks Epilepsy Memory, Short-Term Neurons Humans
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Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

PloS one Mar 18, 2025
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 ...
Humans Neural Networks, Computer Commerce Forecasting Investments Deep Learning Memory, Short-Term Models, Economic
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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 Feb 25, 2025
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 ...
Humans Cities Neural Networks, Computer Air Pollution Environmental Monitoring Ozone Air Pollutants China Memory, Short-Term
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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 Feb 19, 2025
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 ...
Intensive Care Units Respiration, Artificial Logistic Models Respiration Humans Support Vector Machine Neural Networks, Computer Memory, Short-Term Algorithms
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Recurrent neural networks with transient trajectory explain working memory encoding mechanisms.

Communications biology Jan 28, 2025
Whether working memory (WM) is encoded by persistent activity using attractors or by dynamic activity using transient trajectories has been debated for decades in both experimental and modeling studies, and a consensus has not been reached. Even thou...
Memory, Short-Term Nerve Net Recurrent Neural Networks Neural Networks, Computer Animals Models, Neurological Humans
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