Probabilistic Forecasting with Temporal Convolutional Neural Network
Sign Up to like & getrecommendations! 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
Short-term traffic speed forecasting based on graph attention temporal convolutional networks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
An attention-based temporal convolutional network for rodent sleep stage classification across species, mutants and experimental environments with single-channel electroencephalogram
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3198640
Abstract: Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine interaction (HMI), where continuous motion estimation with high accuracy has been the challenge. The convolutional neural network (CNN) possesses excellent feature extraction capability.… read more here.
Keywords: convolutional attention; network; feature temporal; temporal convolutional ... See more keywords
ASTCN: An Attentive Spatial–Temporal Convolutional Network for Flow Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100068
Abstract: Flow prediction attracts intensive research interests, since it can offer essential support to many crucial problems in public safety and smart city, e.g., epidemic spread prediction and medical resource allocation optimization. Among all the models… read more here.
Keywords: flow prediction; spatial temporal; prediction; network ... See more keywords
A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3077537
Abstract: Accurate and real-time prediction of network traffic can not only help system operators allocate resources rationally according to their actual business needs but also help them assess the performance of a network and analyze its… read more here.
Keywords: temporal convolutional; lstm; prediction; network traffic ... See more keywords
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2959160
Abstract: Hand movement classification via surface electromyographic (sEMG) signal is a well-established approach for advanced Human-Computer Interaction. However, sEMG movement recognition has to deal with the long-term reliability of sEMG-based control, limited by the variability affecting… read more here.
Keywords: iot processor; temporal convolutional; convolutional networks; accuracy ... See more keywords
Dilate-Invariant Temporal Convolutional Network for Real-Time Edge Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3124219
Abstract: Temporal Convolutional Networks (TCNs) involving mono channels as input, have shown superior performance compared to state-of-the-art sequence detection recursive networks in a variety of applications. TCNs leverage the concept of dilated causal convolution for a… read more here.
Keywords: invariant temporal; data flow; temporal convolutional; dilate invariant ... See more keywords
An Advancing Temporal Convolutional Network for 5G Latency Services via Automatic Modulation Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3152522
Abstract: Automatic modulation recognition (AMR) has received significant attention since its decisive factor for modern non-cooperative communication systems. Meanwhile, the existing works on deep learning technique achieve exceptional accuracy; however, these works dissatisfy real-time requirements for… read more here.
Keywords: modulation recognition; latency services; automatic modulation; latency ... See more keywords