Abstract: Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in electricity grids and for providing power supply in remote areas. Modern MSGs are largely ...

Due to an internal process change, the Xyce team has decided to break/restart the project history. The master branch has been moved to track changes rooted in a new orphaned node/commit in the ...

Abstract: This article presents a fault diagnosis method utilizing Random Forest (RF) for analyzing faults detected within the power distribution room simulation circuit. Employing the Python ...

Download KiCad for your operating system at the following link: https://www.kicad.org/download/ and set the system language to English. After that create a new ...

The BrainScaleS-2 system is an established analog neuromorphic platform with versatile applications in the diverse fields of computational neuroscience and spike-based machine learning. In this work, ...

Circuit design software is an essential part of an electronics engineer’s life. We have shared some Golden Rules for Circuit Design to avoid errors. A good tool allows you to build designs and checks ...

Electronic design automation software suite delivers unprecedented design capabilities for 5G and future 6G semiconductor chips powering next-generation wireless systems Next-generation solvers, ...

We provide an approach for compiling quantum simulation circuits that appear in Trotter, qDRIFT and multi-product formulas to Clifford and non-Clifford operations that can reduce the number of ...

Amplitude modulation (AM) is a signal modulation technique that is widely used by radio stations for transmitting their programs. This project proposes a Python GUI-based Amplitude Modulation ...

Epileptic seizures are due to excessive and synchronous neural activity. Extensive modelling of seizures has been done on the neuronal level, but it remains a challenge to scale these models up to ...

Resistive Random Access Memory (RRAM) is a promising technology for power efficient hardware in applications of artificial intelligence (AI) and machine learning (ML) implemented in non-von Neumann ...