Vehicle emission models and traffic simulators: a review

M Mądziel - Energies, 2023 - mdpi.com
Accurate estimations and assessments of vehicle emissions can support decision-making
processes. Current emission estimation tools involve several calculation methods that …

Where and how machine learning plays a role in climate finance research

A Alonso-Robisco, J Bas, JM Carbo… - … Finance & Investment, 2024 - Taylor & Francis
The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …

Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment

AM Nassef, AG Olabi, H Rezk, MA Abdelkareem - Sustainability, 2023 - mdpi.com
Prediction of carbon dioxide (CO2) emissions is a critical step towards a sustainable
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …

[PDF][PDF] COVID-19 Cases Prediction in Saudi Arabia Using Tree-based Ensemble Models.

AA Almazroi, RS Afgun Usmani - Intelligent automation & soft …, 2022 - cdn.techscience.cn
COVID-19 pandemic has affected more than 144 million people and spread to over 200
countries. The prediction of COVID-19 behaviour and trend is crucial to prevent its …

Predicting CO2 Emissions by Vehicles Using Machine Learning

AS Chadha, Y Shinde, N Sharma, PK De - International Conference on …, 2022 - Springer
In the previous decade, the measure of CO2 outflows has seen a critical increment, this is
coming about to be a significant justification for environmental change. A significant …

[HTML][HTML] Forecasting Indoor Air Quality in Mexico City Using Deep Learning Architectures

J Altamirano-Astorga, JO Gutierrez-Garcia… - Atmosphere, 2024 - mdpi.com
Air pollution causes millions of premature deaths per year due to its strong association with
several diseases and respiratory afflictions. Consequently, air quality monitoring and …

Artificial intelligence techniques for predicting cardiorespiratory mortality caused by air pollution

RSA Usmani, TR Pillai, IAT Hashem, M Marjani… - International Journal of …, 2023 - Springer
Air pollution (AP) has risen as one of the biggest challenges of the 21st century, and it has
adverse health effects for humans. The effects of health effects, including cardiorespiratory …

Indoor air pollution forecasting using deep neural networks

J Altamirano-Astorga, IA Santiago-Castillejos… - Mexican Conference on …, 2022 - Springer
Atmospheric pollution components have negative effects in the health and life of people.
Outdoor pollution has been extensively studied, but a large portion of people stay indoors …

[PDF][PDF] Studying the Global Climate Changes using Artificial Intelligence: An Overview

B Yahya - Al-Rafidain Engineering Journal, 2023 - iasj.net
Artificial intelligence (AI) can be a powerful tool in addressing some of humanity's biggest
challenges named global climate change. Monitoring climate change involves large and …

Machine Learning methods in climate finance: a systematic review

A Alonso, JM Carbó, JM Marqués - 2023 - papers.ssrn.com
Preventing the materialization of climate change is one of the main challenges of our time.
The involvement of the financial sector is a fundamental pillar in this task, which has led to …