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   Articles with "based lstm" as a keyword



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Multimodal information fusion based on LSTM for 3D model retrieval

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recommendations! Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-08817-6

Abstract: With advances in low-cost 3D model capturing devices and virtual 3D model building software, the acquisition of 3D data has become increasingly easier. The subsequent 3D model retrieval skill has also become essential when we… read more here.

Keywords: model retrieval; information; based lstm; model ... See more keywords

A New Regularized Spatiotemporal Attention-Based LSTM with Application to Nitrogen Oxides Emission Prediction

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recommendations! Published in 2023 at "ACS Omega"

DOI: 10.1021/acsomega.2c08205

Abstract: The data collected from complex process industries are usually time series with considerable nonlinearities and dynamics, as well as excessive redundancy. Moreover, there are temporal and spatial correlations between input variables and key performance variables.… read more here.

Keywords: spatiotemporal attention; new regularized; attention based; regularized spatiotemporal ... See more keywords

Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks

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recommendations! Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac4f07

Abstract: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that pervasively interferes with the lives of individuals starting in childhood. Objective. To address the subjectivity of current diagnostic approaches, many studies have been dedicated to efforts to… read more here.

Keywords: state; adhd children; based lstm; lstm networks ... See more keywords

PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2936597

Abstract: The randomness, volatility, and intermittence of solar power generation make it difficult to achieve the desired accuracy of PV output-power prediction. Therefore, the time learning weight (TLW) proposed in this paper is used to improve… read more here.

Keywords: based lstm; power; prediction; power prediction ... See more keywords

A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3570636

Abstract: Long Short-Term Memory (LSTM) networks are particularly useful in recommender systems since user preferences change over time. Unlike traditional recommender models which assume static user-item interactions, LSTM models capture sequential dependencies and temporal dynamics, making… read more here.

Keywords: recommender; inference based; variational inference; model ... See more keywords

A Broadcast Map Constructing Method Based on the LSTM and Assimilation Theory

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recommendations! Published in 2024 at "IEEE Transactions on Broadcasting"

DOI: 10.1109/tbc.2024.3434536

Abstract: Frequency modulation (FM) broadcasting is a robust and widely applied technology that offers unparalleled advantages over other broadcasting methods in challenging environments. In order to achieve high accuracy in constructing broadcasting maps for scenarios with… read more here.

Keywords: method based; assimilation; model; based lstm ... See more keywords

Ionospheric Refined Mapping Function Construction Based on LSTM

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3338777

Abstract: The ionospheric mapping function (MF) is used to achieve mutual conversion between the vertical total electron content (VTEC) and the slant total electron content (STEC) and is vital to the application of ionospheric products. Currently,… read more here.

Keywords: mapping function; lstm model; elevation angle; elevation ... See more keywords

Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM

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recommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2022/7518779

Abstract: Enhancers are a class of noncoding DNA elements located near structural genes. In recent years, their identification and classification have been the focus of research in the field of bioinformatics. However, due to their high… read more here.

Keywords: cross covariance; based lstm; auto cross; attention based ... See more keywords