Climate change impacts weather, temperature, and environmental stability worldwide. This threatens ecosystems, agriculture, urban infrastructure, and public health. Long-term climate predictions are ...

PKDP (Prior Knowledge Dual-Path CNN) is a dual-path convolutional neural network framework designed to enhance genomic selection (GS) by integrating genome-wide ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

As mechanized open-pit coal mining intensifies, assessing and predicting slope stability has become increasingly important. To address the limitations of traditional mechanical calculations, numerical ...

Estimating and understanding the yield variability within an individual field is critical for precision agriculture resource management of high value tree crops. Recent advancements in sensor ...

It introduces a simple, fast and scalable LE-PDE method to accelerate the simulation and inverse optimization of PDEs, which are crucial in many scientific and engineering applications (e.g., weather ...

Based on the East Coast, Joshua Ko has been an automotive writer for MakeUseOf for over a year and is a die-hard European car enthusiast. He primarily covers car tips and tricks and DIYs. After ...

One of the major challenges that membrane manufacturers, commercial enterprises and the scientific community in the field of membrane-based filtration or reverse osmosis (RO) desalination have to deal ...