An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions
ZM Yaseen - Chemosphere, 2021 - Elsevier
The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …
remarkably advanced over the past two decades. Several machine learning (ML) models …
A review of global precipitation data sets: Data sources, estimation, and intercomparisons
In this paper, we present a comprehensive review of the data sources and estimation
methods of 30 currently available global precipitation data sets, including gauge‐based …
methods of 30 currently available global precipitation data sets, including gauge‐based …
The community earth system model version 2 (CESM2)
G Danabasoglu, JF Lamarque… - Journal of Advances …, 2020 - Wiley Online Library
An overview of the Community Earth System Model Version 2 (CESM2) is provided,
including a discussion of the challenges encountered during its development and how they …
including a discussion of the challenges encountered during its development and how they …
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Streamflow (Q flow) prediction is one of the essential steps for the reliable and robust water
resources planning and management. It is highly vital for hydropower operation, agricultural …
resources planning and management. It is highly vital for hydropower operation, agricultural …
Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets
Abstract The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement
(IMERG) produces the latest generation of satellite precipitation estimates and has been …
(IMERG) produces the latest generation of satellite precipitation estimates and has been …
CMIP6 evaluation and projection of temperature and precipitation over China
X Yang, B Zhou, Y Xu, Z Han - Advances in Atmospheric Sciences, 2021 - Springer
This article evaluates the performance of 20 Coupled Model Intercomparison Project phase
6 (CMIP6) models in simulating temperature and precipitation over China through …
6 (CMIP6) models in simulating temperature and precipitation over China through …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
[HTML][HTML] Contribution of the world's main dust source regions to the global cycle of desert dust
Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the
relative contributions of the world's major source regions to the global dust cycle remain …
relative contributions of the world's major source regions to the global dust cycle remain …
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
This editorial aims to contribute to the current debate about the quality of studies that apply
machine learning (ML) methodologies to medical data to extract value from them and …
machine learning (ML) methodologies to medical data to extract value from them and …
Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer
Achieving a reliable model for predicting the compressive strength (CS) of concrete can
save in time, energy, and cost and also provide information about scheduling for …
save in time, energy, and cost and also provide information about scheduling for …