Statistical Forecasting Models of Atmospheric Carbon Dioxide and Temperature in the Middle East

Journals Menu

Follow SCIRP

ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.org/journal/gep
E-mail: gep@scirp.org

"Statistical Forecasting Models of Atmospheric Carbon Dioxide and Temperature in the Middle East"
written by Maryam I. Habadi, Chris P. Tsokos,
published by Journal of Geoscience and Environment Protection, Vol.5 No.10, 2017

has been cited by the following article(s):

[1]	SAC-ConvLSTM: A novel spatio-temporal deep learning-based approach for a short term power load forecasting
	Expert Systems with Applications, 2024

[2]	Predictive analytics for environmental impact: Deep learning and AI ensemble strategies in forecasting CO2 emissions
	2024

[3]	Modelo para la predicción y evaluación de la demanda de agua potable mediante redes neuronales artificiales de la Empresa Pública de Agua Potable y …
	2023

[4]	Modelo para el pronóstico de la demanda de agua potable aplicando modelos de inteligencia artificial en la portada del cantón Mira
	2023

[5]	Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment
	Sustainability, 2023

[6]	CO2 emissions in the Middle East: Decoupling and decomposition analysis of carbon emissions, and projection of its future trajectory
	Science of The Total Environment, 2022

[7]	Probabilistic vru trajectory forecasting for model-predictive planning a case study: Overtaking cyclists
	2021 IEEE Intelligent …, 2021

[8]	Probabilistic and Statistical Prediction Models for Alzheimer's Disease and Statistical Analysis of Global Warming
	2019

[9]	A bayesian perspective on early stage event prediction in longitudinal data
	IEEE Transactions on …, 2016

Follow SCIRP