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   Articles with "temporal convolutional" as a keyword



Channel spatio-temporal convolutional network for pedestrian trajectory prediction

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recommendations! Published in 2024 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-024-02245-w

Abstract: Pedestrian trajectory prediction is a crucial technology for agents to assist human beings, which remains highly challenging due to the complex interactions between pedestrians and the environment. However, previous works based on pedestrian relative position… read more here.

Keywords: pedestrian trajectory; temporal convolutional; channel spatio; spatio temporal ... See more keywords
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Probabilistic Forecasting with Temporal Convolutional Neural Network

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.03.011

Abstract: We present a probabilistic forecasting framework based on convolutional neural network for multiple related time series forecasting. The framework can be applied to estimate probability density under both parametric and non-parametric settings. More specifically, stacked… read more here.

Keywords: temporal convolutional; convolutional neural; probabilistic forecasting; neural network ... See more keywords
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Short-term traffic speed forecasting based on graph attention temporal convolutional networks

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.001

Abstract: Abstract Accurate and timely traffic forecasting is significant for intelligent transportation management. However, existing approaches model the temporal and spatial features of traffic flow inadequately. To address these limitations, a novel deep learning traffic forecasting… read more here.

Keywords: traffic; based graph; temporal convolutional; attention temporal ... See more keywords

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.08.010

Abstract: Abstract Software systems quality is strongly influenced by the presence of design problems and wrong constructs introduced during software evolution. Design smells are recognized to be indicators of such problems since their presence can indicate… read more here.

Keywords: temporal convolutional; design smells; time design; prediction ... See more keywords

NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks

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recommendations! Published in 2025 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.5c00444

Abstract: Neuropeptides are key signaling molecules that regulate fundamental physiological processes ranging from metabolism to cognitive function. However, accurate identification is a huge challenge due to sequence heterogeneity, obscured functional motifs and limited experimentally validated data.… read more here.

Keywords: temporal convolutional; aimp multimodal; protein language; language ... See more keywords

Short term prediction of photovoltaic power with time embedding temporal convolutional networks

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-04630-z

Abstract: The incorporation of both spatial and temporal characteristics is vital for improving the predictive accuracy of photovoltaic (PV) power generation forecasting. However, in multivariate time series forecasting, an excessive number of features and traditional decomposition… read more here.

Keywords: temporal convolutional; time; photovoltaic power; time embedding ... See more keywords

A spatiotemporal fused bidirectional temporal convolutional network for remaining useful life prediction

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae0144

Abstract: To guarantee the dependable functioning of complex mechanical systems, remaining useful life (RUL) prediction has emerged as a pivotal research frontier. Temporal convolutional networks (TCNs) have revolutionized RUL prediction through innovative integrations of convolutional neural… read more here.

Keywords: spatiotemporal fused; temporal convolutional; prediction; remaining useful ... See more keywords

An attention-based temporal convolutional network for rodent sleep stage classification across species, mutants and experimental environments with single-channel electroencephalogram

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recommendations! Published in 2022 at "Physiological Measurement"

DOI: 10.1088/1361-6579/ac7b67

Abstract: Objective. Sleep perturbation by environment, medical procedure and genetic background is under continuous study in biomedical research. Analyzing brain states in animal models such as rodents relies on categorizing electroencephalogram (EEG) recordings. Traditionally, sleep experts… read more here.

Keywords: network; temporal convolutional; eeg; convolutional network ... See more keywords

Accelerating the discovery of antifungal peptides using deep temporal convolutional networks

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recommendations! Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac008

Abstract: The application of machine intelligence in biological sciences has led to the development of several automated tools, thus enabling rapid drug discovery. Adding to this development is the ongoing COVID-19 pandemic, due to which researchers… read more here.

Keywords: antifungal peptides; accelerating discovery; peptides using; discovery antifungal ... See more keywords

Advancing Early Detection of Sepsis With Temporal Convolutional Networks Using ECG Signals

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2023.3349242

Abstract: In the hours leading up to the onset time of sepsis, the autonomic nervous system presents sub-clinical indicators of disease that may not be observable to providers. The objective of this research is to create… read more here.

Keywords: detection; temporal convolutional; time; ecg signals ... See more keywords

Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3561669

Abstract: As record files generated during system operation, logs play a vital role in ensuring system stability. However, the rapid development of distributed technologies has led to the increasing scale and complexity of log data, resulting… read more here.

Keywords: log anomaly; temporal convolutional; method; log ... See more keywords