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   Articles with "lstm model" as a keyword



A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis

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recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-07788-7

Abstract: Nowadays, social media has become a tremendous source of acquiring user’s opinions. With the advancement of technology and sophistication of the internet, a huge amount of data is generated from various sources like social blogs,… read more here.

Keywords: cnn lstm; lstm model; model; hybrid cnn ... See more keywords

An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

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recommendations! Published in 2021 at "Agricultural and Forest Meteorology"

DOI: 10.1016/j.agrformet.2021.108629

Abstract: Abstract Crop growth condition and production play an important role in food management and economic development. Therefore, estimating yield accurately and timely is of vital importance for regional food security. The long short-term memory (LSTM)… read more here.

Keywords: network; wheat yield; lstm model; model ... See more keywords
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Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

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recommendations! Published in 2020 at "Agricultural Water Management"

DOI: 10.1016/j.agwat.2020.106386

Abstract: Abstract As the standard method to compute reference evapotranspiration (ET0), Penman-Monteith (PM) method requires eight meteorological input variables, which makes it difficult to apply in data scarce regions. To overcome this problem, a hybrid bi-directional… read more here.

Keywords: term; lstm model; term daily; day ... See more keywords

The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases

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recommendations! Published in 2021 at "Infectious Disease Modelling"

DOI: 10.1016/j.idm.2021.12.005

Abstract: The coronavirus disease that outbreak in 2019 has caused various health issues. According to the WHO, the first positive case was detected in Bangladesh on 7th March 2020, but while writing this paper in June… read more here.

Keywords: lstm model; deep learning; recovered death; confirmed recovered ... See more keywords

Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations

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recommendations! Published in 2020 at "Renewable Energy"

DOI: 10.1016/j.renene.2020.05.150

Abstract: Abstract Accurate short-term solar irradiance forecasting is crucial for ensuring the optimum utilization of photovoltaic power generation sources. This study addresses this issue by proposing a spatiotemporal correlation model based on deep learning. The proposed… read more here.

Keywords: lstm model; irradiance; cnn lstm; short term ... See more keywords

F10.7 Daily Forecast Using LSTM Combined With VMD Method

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recommendations! Published in 2024 at "Space Weather"

DOI: 10.1029/2023sw003552

Abstract: The F10.7 solar radiation flux is a well‐known parameter that is closely linked to solar activity, serving as a key index for measuring the level of solar activity. In this study, the Variational Mode Decomposition… read more here.

Keywords: vmd lstm; forecast; model; https doi ... See more keywords

Research on optimal selection of runoff prediction models based on coupled machine learning methods

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-83695-8

Abstract: Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou… read more here.

Keywords: prediction; lstm model; prediction models; runoff ... See more keywords

Prediction of COVID-19 cases by multifactor driven long short-term memory (LSTM) model

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-86698-1

Abstract: Since December 2019, cases of COVID-19 have spread globally, caused millions of deaths and huge economic losses. To investigate the impact of different factors and predict the future trend, this study collects relevant data for… read more here.

Keywords: term memory; long short; memory lstm; lstm model ... See more keywords

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-94239-z

Abstract: This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year. These… read more here.

Keywords: deep learning; cnn lstm; hybrid deep; model ... See more keywords

Evaluating and clustering retrosynthesis pathways with learned strategy†

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recommendations! Published in 2020 at "Chemical Science"

DOI: 10.1039/d0sc05078d

Abstract: With recent advances in the computer-aided synthesis planning (CASP) powered by data science and machine learning, modern CASP programs can rapidly identify thousands of potential pathways for a given target molecule. However, the lack of… read more here.

Keywords: lstm model; retrosynthesis pathways; patent extracted; tree lstm ... See more keywords

Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra

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recommendations! Published in 2023 at "Physical Chemistry Chemical Physics"

DOI: 10.1039/d3cp01618h

Abstract: The nonresonant background (NRB) contribution to the coherent anti-Stokes Raman scattering (CARS) signal distorts the spectral line shapes and thus degrades the chemical information. Hence, finding an effective approach for removing NRB and extracting resonant… read more here.

Keywords: neural network; different deep; cars spectra; lstm model ... See more keywords