Time Series Prediction Based on LSTM-Attention-LSTM Model
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3276628
Abstract: Time series forecasting uses data from the past periods of time to predict future information, which is of great significance in many applications. Existing time series forecasting methods still have problems such as low accuracy… read more here.
Keywords: time; lstm attention; model; time series ... See more keywords
Estimation of optical properties of turbid media using spatially resolved diffuse reflectance combined with LSTM-attention network.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.485235
Abstract: The accurate estimation of the optical properties of turbid media by using a spatially resolved (SR) technique remains a challenging task due to measurement errors in the acquired spatially resolved diffuse reflectance (SRDR) and challenges… read more here.
Keywords: network; estimation optical; lstm attention; attention ... See more keywords