A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

CLICK HERE TO DOWNLOAD THE PDF. Traditional machine learning methods suffer from the curse of dimensionality. Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and ...

Here's an AI/ML-powered forecasting framework that combines the art of human judgment with the science of machine learning.

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Utilizing LSTM algorithms for solar energy forecasting enhances prediction accuracy, essential for effective integration of renewable energy into the grid.

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved July 23, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.