Editorial: Compound Climate Extremes in the Present and Future Climates: Machine Learning, Statistical Methods and Dynamical Modelling

Código QR

Editorial: Compound Climate Extremes in the Present and Future Climates: Machine Learning, Statistical Methods and Dynamical Modelling

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei Zhang, Hiroyuki Murakami, Abdou Khouakhi, Ming Luo
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	compound extremes machine learning statistical methods dynamical modeling climate change Science Q
Acceso en línea:	https://doaj.org/article/0a06519acd384c6b8e41787b0ed78691
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Assessment and Prediction of Maize Production Considering Climate Change by Extreme Learning Machine in Czechia
por: Mansoor Maitah, et al.
Publicado: (2021)

Projected Changes in the Atmospheric Dynamics of Climate Extremes in France
por: Pascal Yiou, et al.
Publicado: (2021)

When It Rains, It Pours: Future Climate Extremes and Health
por: Jonathan A. Patz, et al.
Publicado: (2014)

Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China
por: Litao Feng, et al.
Publicado: (2021)

THE COVID-19 CRISIS WORSENS WITH THE OCCURRENCE OF CLIMATE EXTREMES AND DISASTERS
por: Christopher Uche Ezeh, et al.
Publicado: (2021)

Green cover change detection using a modified adaptive ensemble of extreme learning machines for North-Western India
por: Madhu Khurana, et al.
Publicado: (2021)

Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal
por: Yan Shen, et al.
Publicado: (2021)

Climate Signals for Growth Variations of <i>F. sylvatica</i>, <i>P. abies,</i> and <i>P. sylvestris</i> in Southeast Germany over the Past 50 Years
por: Annette Debel, et al.
Publicado: (2021)

The Segmented Colour Feature Extreme Learning Machine: Applications in Agricultural Robotics
por: Edmund J. Sadgrove, et al.
Publicado: (2021)

An Application of Hybrid Forecasting Singular Spectrum Analysis – Extreme Learning Machine Method in Foreign Tourists Forecasting
por: Muhammad Fajar
Publicado: (2019)

Assessment of climate change impact on maize yield and yield attributes under different climate change scenarios in eastern India
por: R.K. Srivastava, et al.
Publicado: (2021)

Optimized Extreme Learning Machine-Based Main Bearing Temperature Monitoring Considering Ambient Conditions’ Effects
por: Zhengnan Hou, et al.
Publicado: (2021)

Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm
por: Saharuddin K. D., et al.
Publicado: (2021)

Detailed Trend Analysis of Extreme Climate Indices in the Upper Geum River Basin
por: Micah Lourdes Felix, et al.
Publicado: (2021)

Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography
por: Dariusz Majerek, et al.
Publicado: (2021)

Guidelines for Studying Diverse Types of Compound Weather and Climate Events
por: Emanuele Bevacqua, et al.
Publicado: (2021)

The sensitivity of vegetation cover to climate change in multiple climatic zones using machine learning algorithms
por: Zhenxin Bao, et al.
Publicado: (2021)

Trend analysis of climate change compound indices in Iran
por: Ahmad Roshani, et al.
Publicado: (2021)

Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region
por: Mohd Anul Haq, et al.
Publicado: (2021)

Present and future climatic suitability for dengue fever in Africa
por: Dejene W. Sintayehu, et al.
Publicado: (2020)

Snow Avalanche Assessment in Mass Movement-Prone Areas: Results from Climate Extremization in Relationship with Environmental Risk Reduction in the Prati di Tivo Area (Gran Sasso Massif, Central Italy)
por: Massimiliano Fazzini, et al.
Publicado: (2021)

Multivariate Extreme Learning Machine Based AutoEncoder for Electricity Consumption Series Clustering
por: Kaihong Zheng, et al.
Publicado: (2021)

Extremism: Nature, Symptoms, Experience and Conditions of Counteraction
por: Alexander Ivanovich Kugay
Publicado: (2018)

Machine Learning Techniques Applied to Predict Tropospheric Ozone in a Semi-Arid Climate Region
por: Md Al Masum Bhuiyan, et al.
Publicado: (2021)

Development and validation of climatic hazard indicators for roselle (Hibiscus sabdariffa L.) crop in dryland agriculture
por: Cristina Montiel-González, et al.
Publicado: (2021)

Predicting the Geographic Range of an Invasive Livestock Disease across the Contiguous USA under Current and Future Climate Conditions
por: Dylan Burruss, et al.
Publicado: (2021)

EXTREME FACTORS IN THE ACTIVITY OF BASKETBALL PLAYERS MODERN CONCEPTION
por: Т. В. Клюев
Publicado: (2014)

Schematization and Calculation of Mobile Machine Presented as Multibody System. Dynamics of Machine Unit
por: V.B. Algin
Publicado: (2013)

An Online Network Intrusion Detection Model Based on Improved Regularized Extreme Learning Machine
por: Yanqiang Tang, et al.
Publicado: (2021)

Resistance and resilience of a semi-arid grassland to multi-year extreme drought
por: Chong Xu, et al.
Publicado: (2021)

Climatic analysis of effective jet streams frequency on extreme precipitations in west of Iran
por: Shahab Shaffie, et al.
Publicado: (2021)

Regional wetland water storage changes: The influence of future climate on geographically isolated wetlands
por: Quan Cui, et al.
Publicado: (2021)

Crude oil prices and volatility prediction by a hybrid model based on kernel extreme learning machine
por: Hongli Niu, et al.
Publicado: (2021)

Adaptive Cuckoo Search-Extreme Learning Machine Based Prognosis for Electric Scooter System under Intermittent Fault
por: Ming Yu, et al.
Publicado: (2021)

The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
por: Sunilkumar Khadgarai, et al.
Publicado: (2021)

Counter-Terrorism: Push and Pull Factors Impacting Male Youth Involved in Violent Extremism in Punjab, Pakistan
por: Tehmina Aslam, et al.
Publicado: (2020)

Mathematical Modelling of Climate Change and Variability in the Context of Outdoor Ergonomics
por: Sergei Soldatenko, et al.
Publicado: (2021)

Spatiotemporal variation characteristics of extreme precipitation in the upper reaches of the Hongshui River Basin during 1959–2016
por: Ya Huang, et al.
Publicado: (2021)

Climate risk to agriculture: A synthesis to define different types of critical moments
por: Hassnain Shah, et al.
Publicado: (2021)

Deconstructing Buddhist Extremism: Lessons from Sri Lanka
por: Kumar Ramakrishna
Publicado: (2021)