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Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin

https://doi.org/10.1007/s40747-021-00365-2

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inferred← citeshttps://doi.org/10.3390/app13052796openalex-snapshot

Prediction of Air Quality Combining Wavelet Transform, DCCA Correlation Analysis and LSTM Model

inferred← citeshttps://doi.org/10.3390/app142311081openalex-snapshot

Walking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep Learning

inferred← citeshttps://doi.org/10.3390/atmos14030452openalex-snapshot

Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan

inferred← citeshttps://doi.org/10.3390/atmos14061031openalex-snapshot

Estimating Precipitation Using LSTM-Based Raindrop Spectrum in Guizhou

inferred← citeshttps://doi.org/10.3390/e24020141openalex-snapshot

Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks

inferred← citeshttps://doi.org/10.3390/en15093123openalex-snapshot

Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

inferred← citeshttps://doi.org/10.3390/geomatics5030037openalex-snapshot

Spatiotemporal Exposure to Heavy-Day Rainfall in the Western Himalaya Mapped with Remote Sensing, GIS, and Deep Learning

inferred← citeshttps://doi.org/10.3390/hydrology10060129openalex-snapshot

Dynamic Assimilation of Deep Learning Predictions to a Process-Based Water Budget

inferred← citeshttps://doi.org/10.3390/land15020237openalex-snapshot

Spatial and Temporal Variation of Vegetation NPP in a Typical Area of China Based on the CASA Model

inferred← citeshttps://doi.org/10.3390/rs14020348openalex-snapshot

Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)

inferred← citeshttps://doi.org/10.3390/rs14102488openalex-snapshot

Runoff Estimation in the Upper Reaches of the Heihe River Using an LSTM Model with Remote Sensing Data

inferred← citeshttps://doi.org/10.3390/rs17122095openalex-snapshot

Crop Classification Using Time-Series Sentinel-1 SAR Data: A Comparison of LSTM, GRU, and TCN with Attention

inferred← citeshttps://doi.org/10.3390/w13243528openalex-snapshot

Application of Machine Learning Techniques in Rainfall–Runoff Modelling of the Soan River Basin, Pakistan

inferred← citeshttps://doi.org/10.3390/w15020262openalex-snapshot

Deep Learning Approach with LSTM for Daily Streamflow Prediction in a Semi-Arid Area: A Case Study of Oum Er-Rbia River Basin, Morocco

inferred← citeshttps://doi.org/10.3390/w15142511openalex-snapshot

An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques

inferred← citeshttps://doi.org/10.3390/w16091248openalex-snapshot

Forecasting the River Water Discharge by Artificial Intelligence Methods

inferred← citeshttps://doi.org/10.3390/w17213052openalex-snapshot

A Review on Climate Change Impacts on Freshwater Systems and Ecosystem Resilience

inferred← citeshttps://doi.org/10.3390/w18020192openalex-snapshot

Leveraging Machine Learning Flood Forecasting: A Multi-Dimensional Approach to Hydrological Predictive Modeling

inferred← citeshttps://doi.org/10.3390/w18080905openalex-snapshot

Enhanced IMERG SPE Using LSTM with a Novel Adaptive Regularization Method

inferred← citeshttps://doi.org/10.46572/naturengs.1836097openalex-snapshot

Deep Spatiotemporal Learning for Multivariate Water Quality Prediction: Temporal Dynamics–Aware CNN–GRU Hybrid Model

inferred← citeshttps://doi.org/10.5194/hess-2023-124-ac1openalex-snapshot

Reply on RC1

inferred← citeshttps://doi.org/10.5194/hess-2023-124-ac2openalex-snapshot

Reply on RC2

inferred← citeshttps://doi.org/10.5194/hess-2023-124-ac3openalex-snapshot

Reply on AC1

inferred← citeshttps://doi.org/10.5194/hess-2023-124-rc1openalex-snapshot

Comment on hess-2023-124

inferred← citeshttps://doi.org/10.5194/hess-2023-124-rc2openalex-snapshot

Comment on hess-2023-124

inferred← citeshttps://doi.org/10.5194/hess-28-1191-2024openalex-snapshot

Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia

inferred← citeshttps://doi.org/10.53894/ijirss.v7i2.2881openalex-snapshot

Machine learning classification of rainfall forecasts using Austin weather data

inferred← citeshttps://doi.org/10.58805/kazutb.v.1.22-330openalex-snapshot

LSTM МОДЕЛІН ҚОЛДАНА ОТЫРА ФОТОЭЛЕКТРЛІК ЭЛЕКТР СТАНЦИЯЛАРЫНЫҢ ЭЛЕКТР ЭНЕРГИЯСЫН ӨНДІРУДІ ҚЫСҚА МЕРЗІМДІ БОЛЖАУ

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.