The number of U.S. data centers is growing, largely to power artificial intelligence programs. That has led to concern about ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Researchers at the Department of Energy's Pacific Northwest National Laboratory use a slew of autonomous robots to design and ...

Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?

Abstract: In the nuclear power industry, safety and reliability are of the utmost importance. Sensors and actuators are integral components in such systems, and potential faults may adversely impact ...

New Automation Technology Beckhoff implements open automation systems using proven PC-based control technology. The main areas that the product range covers are industrial PCs, I/O and fieldbus ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

The integration of data analytics and artificial intelligence (AI) is revolutionising the administration of climate data and provides a novel solution to the persistent challenges associated with ...

Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...

Power transformers have great importance in power system networks. Any malfunctions in the power transformers cause a system disconnection, which leads to lost profits for the electricity utilities.