Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

A 2024 trip to Ghana by RIT faculty is shaping a new United Nations environmental report challenging e-waste assumptions.

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

An RIT research team is developing an automated system to identify and disassemble garments at high speed and in high volume ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

The accumulation of municipal solid waste (MSW) continues to rise due to burgeoning population, rapid global urbanization and economic growth, intensifying ecological concerns associated with ...

The rapid growth of urbanization, industrialization, and population growth has led to a significant increase in solid waste generation worldwide. Efficient waste management is important for ...

Abstract: Waste classification is crucial for environmental protection and resource recovery. Existing technologies based on RGB images struggle to achieve precise identification of waste material ...