As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
Abstract: This paper presents a method for designing electrically excited synchronous motors for traction applications. The initial stages of motor design are often based on empirical values, ...
Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...