Waste & Recycling

Revolutionary Neural Network Model Predicts Machinery Lifespan in Construction

Sustainability, Waste & Recycling / Rachel Green

In a significant advancement for the construction sector, researchers have unveiled a groundbreaking approach to predicting the remaining useful life (RUL) of machinery, a critical factor in reducing maintenance costs and improving operational effici

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Study Explores Impact of Digital and Raw Material Rents on Mining Sector

Sustainability, Waste & Recycling / Oliver Harris

In a groundbreaking study published in ‘E3S Web of Conferences’, Shcherbakova L.N. from Kemerovo State University has delved into the intricate relationship between raw material rents and digital rents within the

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