Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation
Sign Up to like & getrecommendations! Published in 2024 at "Earth Science Informatics"
DOI: 10.1007/s12145-024-01332-4
Abstract: The Yeşilırmak River Basin in northern Türkiye is crucial for the region’s water supply, agriculture, hydroelectric power generation, and clean drinking water. The primary goal of this study is to determine which modeling approach is… read more here.
Keywords: lstm models; river flow; applicability experiment; exploring applicability ... See more keywords
Integrating an SW-LSTM Model With GNSS-IR to Enhance Sea-Level Measurements During Storm Surges
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3592329
Abstract: Conventional tide gauges have limitations in extreme weather due to their susceptibility to damage from high waves and storm surges, as well as potential inaccuracies caused by rapid changes in wind speed and atmospheric pressure.… read more here.
Keywords: storm surges; lstm models; storm; gnss ... See more keywords
The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262734
Abstract: Background and objective Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population’s health but also affects economic and social development. It requires an accurate prediction analysis to help… read more here.
Keywords: lstm models; arima lstm; mainland china; prediction ... See more keywords
Unveiling the Significance of Individual Level Predictions: A Comparative Analysis of GRU and LSTM Models for Enhanced Digital Behavior Prediction
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14198858
Abstract: The widespread use of technology has led to a transformation of human behaviors and habits into the digital space; and generating extensive data plays a crucial role when coupled with forecasting techniques in guiding marketing… read more here.
Keywords: lstm models; lstm; gru; individual level ... See more keywords
Integrating Climate and Economic Predictors in Hybrid Prophet–(Q)LSTM Models for Sustainable National Energy Demand Forecasting: Evidence from The Netherlands
Sign Up to like & getrecommendations! Published in 2025 at "Sustainability"
DOI: 10.3390/su17198687
Abstract: Forecasting national energy demand is challenging under climate variability and macroeconomic uncertainty. We assess whether hybrid Prophet–(Q)LSTM models that integrate climate and economic predictors improve long-horizon forecasts for The Netherlands. This study covers 2010–2024 and… read more here.
Keywords: national energy; lstm models; demand; prophet lstm ... See more keywords