Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...

The Nissan Formula E Team is delighted to announce the continuation of its collaboration with Coral, which has been in place ...

The final laps in Abu Dhabi had everything a Formula 1 season finale promises to deliver. But how many fans stopped to think about the invisible layer shaping every decision? Or that every car ...

Formula 1 has always been a sport defined by extremes, where milliseconds separate victory from defeat and human skill is pushed to its limits. But behind the roar of engines and the spectacle of pit ...

Abstract: The diagnosis of numerous defects in permanent magnet synchronous motors is crucial to the motor system's safe operation. However, fluctuating working conditions can distort current ...

Branded Content by AWS | Formula 1 and AWS are driving innovation on and off the track. Today, AWS technology powers F1’s data-driven performance—from real-time race strategies to advanced insights.

tl;dr the current normalization formula is only marginally helpful to songs under -6dB and kinda sucks for everything else. If the point of normalization is to provide a more consistent listening ...

Imagine you’re tasked with analyzing two datasets—one containing a list of products and another with customer segments. How do you uncover every possible pairing to identify untapped opportunities?

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Introduction: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, with Mild Cognitive Impairment (MCI) often serving as a prodromal stage. Early detection of MCI is critical for ...

Everyone wants successful AI. The reality is that this demands trusted data products at unprecedented speed, but fragmented tools and siloed approaches are slowing enterprise progress. This ...