Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source

Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source

Abstract Dust storms have many negative consequences, and affect all kinds of ecosystems, as well as climate and weather conditions. Therefore, classification of dust storm sources into different susceptibility categories can help us mitigate its negative effects. This study aimed to classify the su...

Full description

Bibliographic Details
Main Authors:	Hamid Gholami, Aliakbar Mohammadifar
Format:	Article
Language:	English
Published:	Nature Portfolio 2022-11-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-022-24036-5

Similar Items

Dust Source Identification in the Middle East by Using Remote Sensing
by: mehdi boroghani, et al.
Published: (2017-03-01)

Automated Video Events Detection and Classification using CNN-GRU Model
by: Sajjad H. Hendi, et al.
Published: (2023-12-01)

Retracted: News Text Classification Method Based on the GRU_CNN Model
by: International Transactions on Electrical Energy Systems
Published: (2023-01-01)

Power Quality Disturbance Classification Based on Parallel Fusion of CNN and GRU
by: Jiajun Cai, et al.
Published: (2023-05-01)

Analyses of a Lake Dust Source in the Middle East through Models Performance
by: Nasim Hossein Hamzeh, et al.
Published: (2022-04-01)

CNN and Bidirectional GRU-Based Heartbeat Sound Classification Architecture for Elderly People
by: Harshwardhan Yadav, et al.
Published: (2023-03-01)

Text classification model based on CNN and BiGRU fusion attention mechanism
by: Ma Yuqun, et al.
Published: (2022-01-01)

Time Series Forecasting of Significant Wave Height using GRU, CNN-GRU, and LSTM
by: Cornelius Stephanus Alfredo, et al.
Published: (2022-10-01)

The Design of the 1D CNN–GRU Network Based on the RCS for Classification of Multiclass Missiles
by: A Ran Kim, et al.
Published: (2023-01-01)

Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
by: Gun Il Kim, et al.
Published: (2023-01-01)

Network Intrusion Detection Model Based on CNN and GRU
by: Bo Cao, et al.
Published: (2022-04-01)

Water Level Prediction Model Based on GRU and CNN
by: Mingyang Pan, et al.
Published: (2020-01-01)

Research on water quality prediction based on PE-CNN-GRU hybrid model
by: Zhang Langlang, et al.
Published: (2023-01-01)

Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN
by: Qiannan Zhu, et al.
Published: (2021-01-01)

Spark Analysis Based on the CNN-GRU Model for WEDM Process
by: Changhong Liu, et al.
Published: (2021-06-01)

A Multichannel CNN-GRU Model for Human Activity Recognition
by: Limeng Lu, et al.
Published: (2022-01-01)

Impact of North African Sand and Dust Storms on the Middle East Using Iraq as an Example: Causes, Sources, and Mitigation
by: Salih Muhammad Awadh
Published: (2023-01-01)

Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework
by: Sohail Zia, et al.
Published: (2023-05-01)

Real-time detection algorithm of tunnel cracks based on GRU-CNN
by: Guojun Wen, et al.
Published: (2023-11-01)

Bearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRU
by: Taher Saghi, et al.
Published: (2022-12-01)

Residual-Electrical-Endurance Prediction of AC Contactor Based on CNN-GRU
by: Shuxin Liu, et al.
Published: (2022-11-01)

Rice disease identification method based on improved CNN-BiGRU
by: Yang Lu, et al.
Published: (2023-09-01)

Determining Dust Sources of Middle East and Assessing Their Impact on Agricultural Lands in Euphrates-Tigris River Basin (Syria-Iraq)
by: Ayhan Ateşoğlu, et al.
Published: (2018-04-01)

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting
by: Muhammad Sajjad, et al.
Published: (2020-01-01)

SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
by: Somdip Dey, et al.
Published: (2019-01-01)

Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory
by: Aliakbar Mohammadifar, et al.
Published: (2022-09-01)

Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models
by: Hyunsun Song, et al.
Published: (2023-04-01)

RF sources for linear colliders
by: Danly, B.G.
Published: (2015)

Short-term Load Forecasting Method Based on BIRCH-CNN-GRU Model
by: Kunqi LI, et al.
Published: (2023-01-01)

Research on the Uplift Pressure Prediction of Concrete Dams Based on the CNN-GRU Model
by: Guowei Hua, et al.
Published: (2023-01-01)

Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
by: Ziwen Gao, et al.
Published: (2022-03-01)

BiGRU-CNN Neural Network Applied to Electric Energy Theft Detection
by: Lucas Duarte Soares, et al.
Published: (2022-02-01)

Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU
by: Zijing Yang, et al.
Published: (2023-11-01)

Research on power system fault prediction based on GA-CNN-BiGRU
by: Daohua Zhang, et al.
Published: (2023-08-01)

Politics and change in the middle east : source of conflict and accommodation /
by: 197557 Anderson, Roy R.
Published: (1987)

Hygroscopicity and Ice Nucleation Properties of Dust/Salt Mixtures Originating from the Source of East Asian Dust Storms
by: Jun Li, et al.
Published: (2022-06-01)

Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU
by: Kai Lv, et al.
Published: (2024-04-01)

Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models
by: Dusmurod Kilichev, et al.
Published: (2024-02-01)

Research on Fault Early Warning of Marine Diesel Engine Based on CNN-BiGRU
by: Ben Liu, et al.
Published: (2022-12-01)

Research on the Prediction of Tire Radial Load Based on 1D CNN and BiGRU
by: Yuanjin Ji, et al.
Published: (2023-11-01)