Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …

Managing energy demand and reducing greenhouse gas emissions are among the most
significant challenges ahead for many countries. Accurate prediction of energy demand and …

The presence of contaminated land is an inevitable legacy of industrial activity, and the
management decisions governing reclamation of this land are key in minimizing …

China, as the world's largest emitter of carbon emissions, has implemented carbon markets
to reduce carbon emissions, but the economic feasibility of integrating electric vehicles (EVs) …

This paper investigates the role of optimization in marketing practices and its impact on
enhancing efficiency and effectiveness. The study explores various optimization techniques …

Carbon dioxide (CO 2) is the primary driver of global warming. Conducting CO 2 emission
projections and identifying the decoupling relationship between CO 2 emission and …

With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …

Excessive carbon emissions seriously threaten the sustainable development of society and
the environment and have attracted the attention of the international community. The Yellow …

Accurate forecasting of carbon dioxide (CO 2) emissions is crucial for achieving carbon
neutrality early, as CO 2 is the primary component of greenhouse gases. The time series of …

In this study, three novel machine learning algorithms of additive regression-random forest
(AR-RF), Iterative Classifier Optimizer (ICO-AR-RF), and multi-scheme (MS-RF) were …