U-Convolutional model for spatio-temporal wind speed forecasting
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2020.10.007
Abstract: Abstract The increasing penetration of intermittent renewable energy in power systems brings operational challenges. One way of supporting them is by enhancing the predictability of renewables through accurate forecasting. Convolutional Neural Networks (Convnets) provide a… read more here.
Keywords: spatio temporal; forecasting convolutional; convolutional model; temporal wind ... See more keywords
Computationally Efficient Dilated Convolutional Model for Melody Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3189313
Abstract: In this paper we propose a dilated convolutional model for music melody extraction. Taking variable-q transforms (VQTs) as inputs, it first uses consecutive layers of convolution to capture local temporal-frequency patterns, and then a single… read more here.
Keywords: convolutional model; dilated convolutional; melody extraction; model ... See more keywords
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3076991
Abstract: The convolutional model, which describes the relation among poststack seismic data, wavelet, and reflectivity, is the foundation of seismic deconvolution (SD). However, this model is only an approximation of the seismic wave equation, and it… read more here.
Keywords: convolutional model; deep learning; model; seismic deconvolution ... See more keywords