The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

It’s impossible to ignore the tidal wave of excitement—and hype—surrounding generative AI. This revolutionary technology has ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr.

Engineers rely on computational tools to develop new energy storage technologies, which are critical for capitalizing on ...

Gain insights from Thermo Fisher Scientific on how ion chromatography, XRD, and XRF are revolutionizing quality control in the battery manufacturing industry.

Vehicle emissions are a leading source of greenhouse gases, yet conventional modeling tools assume symmetrical and proportional relationships between fuel use, engine size, and emissions. This ...

Cotton nanofibers strengthen MXene membranes and boost ion selectivity, enabling efficient and durable conversion of saltwater and freshwater mixing into usable electricity at commercially viable ...