Conventional fossil fuels are being substituted with alternative green fuels because of their
greenhouse gas emissions and pollution problems, which pose a severe threat to the …

Examining the game-changing possibilities of explainable machine learning techniques, this
study explores the fast-growing area of biochar production prediction. The paper …

This study uses machine learning methods to model different stages of the calcination
process in cement, with the goal of improving knowledge of the generation of CO2 during …

The global supply chain has been growing strongly in recent years. This development brings
many benefits to the economy, society, and human resources in each country but also …

Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …

Several issues such as sustainability, CO2 footprint, and energy supply security which
primarily resulted from fossil fuel emissions have become the main concerns for analysts …

This paper aims to investigate the role that artificial intelligence (AI) plays in promoting
sustainability in the marine industry. The report demonstrates the potential of AI-driven …

This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …

Transportation is a critical contributor to carbon emissions, with road transportation playing a
dominant role due to its dense network and versatility. However, the overreliance on road …

With the increasing demand for efficient maritime logistic management, industries are
striving to develop automation software. However, collecting data for analytics from diverse …