Cambridge GaN Devices’s hybrid architecture for power modules combines gallium-nitride and IGBT devices to give EV designers an efficient, affordable solution for drivetrains and accessories.

One anticipated algorithm described in the document aimed to evaluate whether trucks or trailers were empty, while other use cases could be assigned ... The spokesperson added: “The goal of ...

There are several techniques that can be used for anomaly detection. This article explains how to perform anomaly detection using LightGBM. LightGBM (lightweight gradient boosting machine) is a ...

These algorithms were tested using a dataset from the operational water treatment testbed, SWaT, at the Singapore University of Technology and Design. Explainable AI integration: To enhance ...

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...

Abstract: Time series anomaly detection is a task that determines ... Typical approach is to learn normal data representation using generative models, like Generative Adversarial Network (GAN), to ...

To achieve the aim of scientific cultivation and precise control, the agricultural environments are monitored in real time by using ... a new GAN-based anomaly detection method. In particular, for ...