A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...

Abstract: Brain-Computer Interfaces (BCIs) have shown significant potential in medical applications, such as epilepsy monitoring and cognitive state recognition. A key challenge in BCI systems is the ...

Now in its fifth year, the Northwestern Computer Science PhD Application Feedback Program, led by Northwestern Engineering’s Fabian E. Bustamante, aims to assist prospective students with their ...

As organizations advance in their digital transformation, the modernization of legacy applications and the adoption of new technologies are becoming fundamental strategies to drive competitiveness.

Abstract: Efficiency is supreme in Industrial Engineering. Many advanced AI algorithms are generally used in the industrial environment to monitor, identify, and detect machinery conditions and other ...

Patna, April 28: The Bihar Public Service Commission (BPSC) has officially announced a major recruitment drive for Assistant Engineer (Civil, Mechanical, and Electrical) positions across various state ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Daniel Ruskin started his career when he was a mere 14 years old as an engineer for Coinbase. As he tells it, he was a teenager “who knew how to code and wanted to build cool things.” Obviously too ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

A moving-average filter can address white noise in the time domain but performs poorly in the frequency domain. Figure 1. The convolution engine calculates y(tn) for n=6 (a) and then goes on to ...