Comparison of Forecasting Models for Real-Time Monitoring of Water Quality Parameters Based on Hybrid Deep Learning Neural Networks

Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction

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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

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A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis

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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

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A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network

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Hybrid decision tree-based machine learning models for short-term water quality prediction

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Deep‐Learning‐Enabled MXene‐Based Artificial Throat: Toward Sound Detection and Speech Recognition

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A comprehensive review on the design and optimization of surface water quality monitoring networks

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Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa

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Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks

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Air quality data series estimation based on machine learning approaches for urban environments

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Seasonal Variation of Dissolved Oxygen in the Southeast of the Pearl River Estuary

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Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

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Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

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One dimensional convolutional neural network architectures for wind prediction

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A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

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Streamflow and rainfall forecasting by two long short-term memory-based models

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Spatial-temporal process simulation and prediction of chlorophyll-a concentration in Dianchi Lake based on wavelet analysis and long-short term memory network

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Nitrogen and phosphorus retention budgets of a semiarid plain basin under different human activity intensity

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Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

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Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

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Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

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Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

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Comparison of hybrid models for daily streamflow prediction in a forested basin

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A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin

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Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China

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Characteristics of water quality of municipal wastewater treatment plants in China: implications for resources utilization and management

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Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China

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Deep learning

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