Classrooms play a pivotal role in students' learning, and maintaining optimal indoor air
quality is crucial for their well-being and academic performance. Elevated CO2 levels can …

Over the past years, the economies of the Gulf Cooperation Countries (GCC) countries,
which hold a large of the world in oil and gas exports, have suffered from dramatic declines …

This research introduces an innovative framework for addressing the escalating issue of
greenhouse gas emissions through the integration of game theory with differential …

The successful prediction of future stock prices can give significant future profit. The financial
experts are divided over the possibility of correct prediction of future stock prices. A stronger …

In gas‐fired power plants, emissions may reduce turbine blade rotation, thus decreasing
power output. This study proposes a hybrid model integrating the Feed forward Neural …

Multivariate long-term time-series forecasting tasks are very challenging tasks in many real-
world application areas. Recently, researchers focus on designing robust and effective …

We introduce eco4cast, 1 an open-source package aimed to reduce carbon footprint of
machine learning models via predictive cloud computing scheduling. The package is …

Global warming is a significant challenge. Among the contributors, CO2 emission is the
foremost, and almost 40% of global emissions come from electricity generation. In this …

Climate awareness caused by the threat of global warming is the number one agenda item
for developed and developing economies. Plans developed in this context, environmentally …

The utilization of fossil fuels has led to a significant rise in carbon dioxide (CO2) emission.
Among various sectors, the energy industry plays a substantial role in contributing to global …