Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

The rising food waste generation induces major issues of food security, pollution, and
depletion of resources and arable land, thus calling for novel recycling practices such as …

In this study, six novel hydroxy-functionalized basic ionic liquids (BILs) were prepared using
a two-step technique and employed as efficient and recyclable catalysts for the synthesis of …

The biodiesel industry is a promising field globally, and is expanding significantly and
quickly. To create a biodiesel business that is both sustainable and commercially feasible, a …

The convergence of technological innovation, particularly deep learning (DL), with the
importance of responsibility for the environment in achieving environmental sustainability …

Biodiesel, a versatile and eco-friendly biofuel, holds a unique position among the alternative
energy sources as it addresses critical concerns related to the environment and energy …

Artificial intelligence (AI) has been increasingly popular in various businesses in recent
years. AI has‎ proven to be an effective tool for enhancing efficiency and decision-making …

The application of Earth observation data to Deep Learning (DL) has increased dramatically
over the last ten years, with ground-breaking initiatives made possible by the creation of …

The increasing scarcity of fossil fuel resources has created a significant need for a clean,
inexpensive, and sustainable energy source. Biodiesel, a kind of liquid biofuel, has been …

The application of artificial intelligence in addressing environmental issues is an innovative
and solution-oriented approach with great potential to reduce environmental pollution that …