A Review of the Application of Artificial Intelligence Algorithms for the Management of Hazardous Mineral Waste

The present study evaluates and assesses the application of artificial intelligence algorithms in the management of hazardous mineral waste. Management of mineral waste is very critical because of the environmental and health hazards they pose. In dealing with the complexity and great volume of data involved in mineral waste, artificial intelligence algorithms can be very instrumental in enhancing efficiency and accuracy. Various applications of machine learning and neural network algorithms are presented for predicting waste generation, optimization of recycling processes, and mitigation of environmental impacts. Moreover, the benefits of, and challenges in, such a venture regarding the aspects of artificial intelligence pertaining to data accuracy, model complexity, and specialized technical expertise shall be discussed. The intended outcome of this study will consequently give an overall professional take on the potential of artificial intelligence to improve hazardous mineral waste management while also highlighting promising research directions for the future.

کلیدواژه ها:

Hazardous Mineral Waste ، Waste Management ، Artificial Intelligence ، Environmental Management ، Smart Waste Solutions