|
|
|
|
|
Dagoberto Castellanos-Nieves and Luis García-Forte
Automated machine learning (AutoML), which aims to facilitate the design and optimization of machine-learning models with reduced human effort and expertise, is a research field with significant potential to drive the development of artificial intelligen...
ver más
|
|
|
|
|
|
|
|
|
Arthur Oliver, Cristobal Camarena-Bernard, Jules Lagirarde and Victor Pozzobon
It is often read that industrial microalgal biotechnology could contribute to carbon capture through photosynthesis. While technically accurate, this claim is rarely supported by sound figures nor put in regard to the carbon emissions associated with sai...
ver más
|
|
|
|
|
|
|
|
|
Hegazy Rezk, A. G. Olabi, Mohammad Ali Abdelkareem, Ali Alahmer and Enas Taha Sayed
The use of green hydrogen as a fuel source for marine applications has the potential to significantly reduce the carbon footprint of the industry. The development of a sustainable and cost-effective method for producing green hydrogen has gained a lot of...
ver más
|
|
|
|
|
|
|
|
|
Hanwei Teng, Shujian Li, Zheng Cao, Shuang Li, Changping Li and Tae Jo Ko
Wind energy is a type of clean energy that can address global energy shortages and environmental issues. Wind turbine blades are a critical component in capturing wind energy. Carbon fiber composites have been widely recognized for their excellent overal...
ver más
|
|
|
|
|
|
|
|
|
Fahad Al-Otaibi, Hongliang Xiao, Abdallah S. Berrouk and Kyriaki Polychronopoulou
Replacing the conventionally used steam reforming of methane (SRM) with a process that has a smaller carbon footprint, such as dry reforming of methane (DRM), has been found to greatly improve the industry?s utilization of greenhouse gases (GHGs). In thi...
ver más
|
|
|
|